VulnerabilityPublished 6 May 2026Updated 8 May 2026

CVE-2026-44349: github.com/daptin/daptin · Daptin fuzzy search injects unvalidated column name into raw SQL

Affects github.com/daptin/daptinSource GCVE Database

Authoritative record:CVE-2026-44349· High 7.1

Not known to be exploited · CVSS 7.1 High : upgrade to 0.11.5 soon.

Data as of 27 Oct 2026, 00:07 UTC

CVSS 4.0 base score

7.1High

How severe the flaw is on the 0–10 CVSS scale.

Patch: Available – fixed in 0.11.5

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

Attack Vector: Network
Attack Complexity: Low
Attack Requirements: None
Privileges Required: Low
User Interaction: None
Vulnerable system confidentiality: High
Vulnerable system integrity: None
Vulnerable system availability: None
Subsequent system confidentiality: None
Subsequent system integrity: None
Subsequent system availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable system is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system.
Attack Requirements: None: The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability.
Privileges Required: Low: The attacker requires privileges that provide basic capabilities that are typically limited to settings and resources owned by a single low-privileged user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources.
User Interaction: None: The vulnerable system can be exploited without interaction from any human user, other than the attacker.
Vulnerable system confidentiality: High: There is a total loss of confidentiality, resulting in all information within the Vulnerable System being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server.
Vulnerable system integrity: None: There is no loss of integrity within the Vulnerable System.
Vulnerable system availability: None: There is no impact to availability within the Vulnerable System.
Subsequent system confidentiality: None: There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.
Subsequent system integrity: None: There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.
Subsequent system availability: None: There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.

Definitions: FIRST CVSS v4.0 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 7 May 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Upgrade github.com/daptin/daptin to 0.11.5.

Affected software

Product	Affected	Fixed in
Gogithub.com/daptin/daptin	Affected <0.11.5	Fixed in 0.11.5

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

Description

## Summary `processFuzzySearch` in `server/resource/resource_findallpaginated.go:1484` splits the user-supplied `column` parameter by comma and interpolates each segment directly into `goqu.L(fmt.Sprintf("LOWER(%s) LIKE ?", prefix+col))` raw SQL with no column whitelist check. The entry point is `GET /api/<entity>` with `operator=fuzzy` (or `fuzzy_any`, `fuzzy_all`). Any authenticated user — including one who self-registered with no admin involvement — can read the entire database. --- ## Details At `resource_findallpaginated.go:1761`, when the operator is `fuzzy`, `fuzzy_any`, or `fuzzy_all`, execution routes to `processFuzzySearch` (line 1763) before `processQueryFilter` (line 1780). `processQueryFilter` is the only path that calls `GetColumnByName` (line 1351), which validates column names against the table schema. The fuzzy branch never reaches that check. Inside `processFuzzySearch` (line 1484), `filterQuery.ColumnName` is split by comma. After `strings.TrimSpace` (line 1486), each segment is routed to a DB-driver-specific function. The injectable sink reached depends on the driver and the `fuzzy_options.fallback_mode` field. **SQLite** (`processFuzzySearchSQLite`, lines 1632–1676) uses `goqu.L` in all code paths — no `fallback_mode` required: - `goqu.L(fmt.Sprintf("LOWER(%s) LIKE ?", prefix+col), ...)` — line 1650/1657 **PostgreSQL, MySQL, MSSQL** default to `goqu.Ex` (identifier-quoted, not injectable). The `goqu.L` sink is only reached when the attacker supplies a specific `fuzzy_options.fallback_mode` value in the HTTP `query` JSON: - PostgreSQL `word_boundary` mode (line 1540): `goqu.L(fmt.Sprintf("%s ~* ?", prefix+col), ...)` - MySQL `soundex` mode (line 1598): `goqu.L(fmt.Sprintf("SOUNDEX(%s) = SOUNDEX(?)", prefix+col), ...)` - MSSQL `soundex` mode (line 1694): `goqu.L(fmt.Sprintf("DIFFERENCE(%s, ?) >= 3", prefix+col), ...)` `fuzzy_options` is deserialized from the HTTP request at line 243 (`json.Unmarshal([]byte(query[0]), &queries)`) — it is fully attacker-controlled. `goqu.L` emits its first argument as a raw SQL literal. The column position uses `%s` string formatting, not a bound parameter. `prefix` is fixed at line 351 as `dbResource.model.GetName() + "."` — for `/api/world` this is `"world."`. Against SQLite, an attacker-supplied column value of `reference_id) OR 1=1 OR LOWER(world.reference_id` expands in the WHERE clause to `LOWER(world.reference_id) OR 1=1 OR LOWER(world.reference_id) LIKE ?`. Against PostgreSQL (where `reference_id` is stored as `bytea`), the `~*` regex operator requires a text-type column; the attack targets a `varchar` column instead (e.g., `table_name`) with an adapted injection template. **Relation to GHSA-rw2c-8rfq-gwfv**: That patch modified `resource_aggregate.go` to fix `/aggregate/:typename`. This vulnerability is in `resource_findallpaginated.go` on the `/api/<entity>` fuzzy path — different file, different endpoint, different operator. The existing patch does not cover this path. **Tested:** SQLite injection dynamically confirmed (boolean-blind extraction, email extracted). PostgreSQL `word_boundary` injection dynamically confirmed (baseline=0 rows, tautology=5 rows, email=`guest@cms.go` extracted via text column). MySQL and MSSQL confirmed by code review; MySQL binary panics on initialization in the test harness (unrelated daptin bug), dynamic verification not performed. **Fix**: Add a `GetColumnByName` whitelist check in `processFuzzySearch` (line 1484) before the comma-split, matching the pattern in `processQueryFilter:1351`. All four DB driver sinks require fixing. --- ## PoC **Environment:** ```bash git clone https://github.com/daptin/daptin cd daptin git checkout 5d3214244890989eceefa694bfc976ef11458721 go build -o daptin-server . ./daptin-server # listens on :6336, SQLite backend by default ``` **poc.py** (Python 3, no dependencies): ```python import json, urllib.request, urllib.parse BASE = "http://localhost:6336" def post(path, body): req = urllib.request.Request(BASE + path, json.dumps(body).encode(), {"Content-Type": "application/json"}) try: return json.loads(urllib.request.urlopen(req, timeout=10).read(50_000)) except urllib.request.HTTPError as e: return json.loads(e.read(50_000)) def token(): post("/action/user_account/signup", {"attributes": { "name": "poc", "email": "poc@test.com", "password": "adminadmin", "passwordConfirm": "adminadmin"}}) body = post("/action/user_account/signin", {"attributes": { "email": "poc@test.com", "password": "adminadmin"}}) return next(i["Attributes"]["value"] for i in body if i.get("ResponseType") == "client.store.set") def rows(col, jwt): q = urllib.parse.urlencode({"query": json.dumps( [{"column": col, "operator": "fuzzy", "value": "zzzzz"}])}) req = urllib.request.Request(f"{BASE}/api/world?{q}&page%5Bsize%5D=5", headers={"

CWE-89Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') (opens in a new tab)
Base weaknessLikelihood of exploit: HighCWE Top 25 (2025): #2OWASP Top 10 A05:2025: Injection (opens in a new tab)
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
Architecture and Design · Libraries or Frameworks
Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
Architecture and Design · Parameterization
If available, use structured mechanisms that automatically enforce the separation between data and code. These mechanisms may be able to provide the relevant quoting, encoding, and validation automatically, instead of relying on the developer to provide this capability at every point where output is generated.
Architecture and Design · Operation · Environment Hardening
Run your code using the lowest privileges that are required to accomplish the necessary tasks. If possible, create isolated accounts with limited privileges that are only used for a single task. That way, a successful attack will not immediately give the attacker access to the rest of the software or its environment.
OWASP Cheat Sheets
Query Parameterization (opens in a new tab)
Unvalidated Redirects and Forwards (opens in a new tab)
XML Security (opens in a new tab)
XML External Entity Prevention (opens in a new tab)
File Upload (opens in a new tab)
OWASP ASVS 4.0.3
V5.3.4 (opens in a new tab)
V5.3.5 (opens in a new tab)
V1.5.1 (opens in a new tab)
Attack patterns
Command Line Execution through SQL Injection (opens in a new tab)
Object Relational Mapping Injection (opens in a new tab)
SQL Injection through SOAP Parameter Tampering (opens in a new tab)
Expanding Control over the Operating System from the Database (opens in a new tab)
SQL Injection (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

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What to do

Affected software

Description

WeaknessesCWE-89

Technical details

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