Guardrails AI thru 0.6.7 contains a code injection vulnerability (CWE-94) in its Hub package installation mechanism. When installing validator packages via guardrails hub install, the system retrieves a manifest from the Guardrails Hub and dynamically executes a script specified in the post_install field. The script path is constructed from untrusted manifest data and executed without proper validation or sanitization, allowing remote code execution. An attacker who can publish malicious packages to the Hub can inject arbitrary code that will be executed on any system where a victim installs the malicious package.

The CosyVoice project thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its model loading process. When loading model files (.pt) from a user-specified directory (via the --model_dir argument), the code uses torch.load() without the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the Pickle module. An attacker can exploit this by providing a maliciously crafted model directory containing .pt files with embedded pickle payloads. When a victim loads this directory using CosyVoice's web interface, the malicious payload is executed, leading to remote code execution on the victim's system.

Cognee thru v0.4.0 contains a critical remote code execution vulnerability in its notebook cell execution API endpoint. The endpoint is designed to execute arbitrary Python code provided by the user, but it does so using the unsafe exec() function without any sandboxing, validation, or security controls. An attacker can exploit this by sending a specially crafted POST request containing malicious Python code to the execution endpoint. This leads to arbitrary code execution on the Cognee server with the privileges of the server process, allowing complete compromise of the system.

The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a command-line argument injection vulnerability in its Kubeflow component (robustness_evaluation_fgsm_pytorch.py). The script uses the unsafe eval() function to parse string values provided via the --clip_values and --input_shape command-line arguments. This allows an attacker to inject arbitrary Python code into these arguments, which will be executed when eval() is called. The vulnerability can be exploited remotely if an attacker can control these arguments (e.g., through pipeline configuration or automated scripts), leading to arbitrary code execution on the system running the ART evaluation.

The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains an insecure deserialization vulnerability (CWE-502) in its Kubeflow component's model loading functionality. When loading model weights from a file (e.g., model.pt) during robustness evaluation, the code uses torch.load() without the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the Pickle module. An attacker can exploit this by uploading a maliciously crafted model file to an object storage location referenced by the pipeline, or by controlling the model_id parameter to point to such a file. When the pipeline loads the model, the malicious payload is executed, leading to remote code execution.

Insufficient ownership check in `clientarea.php` allows an authenticated client area user to submit requests using another user’s `addonId` without any ownership validation leading to unauthorized access to the victim's account.

A missing authorization vulnerability in Fortinet FortiSandbox 5.0.0 through 5.0.1, FortiSandbox 4.4.0 through 4.4.8, FortiSandbox Cloud 5.0.2 through 5.0.5, FortiSandbox PaaS 23.4 all versions, FortiSandbox PaaS 23.3 all versions, FortiSandbox PaaS 23.1 all versions, FortiSandbox PaaS 22.2 all versions, FortiSandbox PaaS 22.1 all versions, FortiSandbox PaaS 21.4 all versions, FortiSandbox PaaS 21.3 all versions, FortiSandbox PaaS 5.0.0 through 5.0.1, FortiSandbox PaaS 4.4.5 through 4.4.8 may allow an unauthenticated attacker to execute unauthorized code or commands via HTTP requests.

An improper neutralization of argument delimiters in a command ('argument injection') vulnerability in Fortinet FortiDeceptor 6.0.0 through 6.0.2, FortiDeceptor 5.3.0 through 5.3.3, FortiDeceptor 5.2.0 through 5.2.1, FortiDeceptor 5.1 all versions, FortiDeceptor 5.0 all versions may allow an authenticated attacker with at least read-only admin permission to read log files via HTTP crafted requests.

An improper neutralization of special elements used in an sql command ('sql injection') vulnerability in Fortinet FortiNDR 7.6.0 through 7.6.2, FortiNDR 7.4.0 through 7.4.9, FortiNDR 7.2 all versions, FortiNDR 7.1 all versions, FortiNDR 7.0 all versions may allow an authenticated attacker to execute unauthorized code or commands via specifically crafted HTTP requests.

Double free in Windows Rich Text Edit allows an authorized attacker to elevate privileges locally.

Improper input validation for some Intel(R) QAT software drivers for Windows before version 1.13 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable escalation of privilege. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (high), integrity (high) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

Out-of-bounds write for some Intel(R) QAT software drivers for Windows before version 1.13 within Ring 3: User Applications may allow a escalation of privilege. Unprivileged software adversary with an authenticated user combined with a low complexity attack may enable escalation of privilege. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires no user interaction. The potential vulnerability may impact the confidentiality (high), integrity (high) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

A use of potentially dangerous function vulnerability in Fortinet FortiAnalyzer 7.6.0 through 7.6.4, FortiAnalyzer 7.4.0 through 7.4.8, FortiAnalyzer 7.2 all versions, FortiAnalyzer 7.0 all versions, FortiAnalyzer 6.4 all versions, FortiManager 7.6.0 through 7.6.4, FortiManager 7.4.0 through 7.4.8, FortiManager 7.2 all versions, FortiManager 7.0 all versions, FortiManager 6.4 all versions may allow an authenticated attacker to cause a system hang via multiple specially crafted HTTP requests causing crashes. This happens if internal locks are aligned, which is out of control of the attacker.

An improper neutralization of special elements used in an os command ('os command injection') vulnerability in Fortinet FortiAP 7.6.0 through 7.6.2, FortiAP 7.4.0 through 7.4.5, FortiAP 7.2 all versions, FortiAP 7.0 all versions, FortiAP 6.4 all versions, FortiAP-W2 7.4.0 through 7.4.4, FortiAP-W2 7.2 all versions, FortiAP-W2 7.0 all versions may allow an authenticated attacker to execute unauthorized code or commands via a specifically crafted cli command.

A out-of-bounds write vulnerability in Fortinet FortiOS 7.6.0 through 7.6.3, FortiOS 7.4.0 through 7.4.8, FortiOS 7.2.0 through 7.2.11 allows attacker to execute unauthorized code or commands via specially crafted packets.

An improper neutralization of special elements used in an SQL Command ("SQL Injection&") vulnerability [CWE-89] vulnerability in Fortinet FortiMail 7.6.0 through 7.6.3, FortiMail 7.4.0 through 7.4.5, FortiMail 7.2.0 through 7.2.8 allows an authenticated privileged attacker to execute unauthorized code or commands via specifically crafted HTTP or HTTPS requests.

An improper neutralization of special elements used in an OS command ("OS Command Injection") vulnerability [CWE-78] vulnerability in Fortinet FortiAP 7.6.0 through 7.6.2, FortiAP 7.4.0 through 7.4.5, FortiAP 7.2 all versions, FortiAP 7.0 all versions, FortiAP 6.4 all versions, FortiAP-U 7.0.0 through 7.0.5, FortiAP-U 6.2 all versions, FortiAP-W2 7.4.0 through 7.4.4, FortiAP-W2 7.2 all versions, FortiAP-W2 7.0 all versions allows an authenticated privileged attacker to execute unauthorized code or commands via crafted CLI requests.

An inconsistent user interface issue was addressed with improved state management. This issue is fixed in iOS 18.7.3 and iPadOS 18.7.3, iOS 26.2 and iPadOS 26.2. An app may be able to access sensitive user data.

An access issue was addressed with additional sandbox restrictions. This issue is fixed in macOS Sequoia 15.7.7, macOS Sonoma 14.8.7, macOS Tahoe 26.2. An app may be able to break out of its sandbox.

Missing authorization in the PAM module in Devolutions Server allows an authenticated user with a PAM license but no additional permissions to obtain OTP secret keys and recovery codes via crafted requests to PAM API endpoints. This issue affects the following versions : * Devolutions Server 2026.1.6.0 through 2026.1.11.0 * Devolutions Server 2025.3.16.0 and earlier

Rejected reason: ** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. Reason: This candidate was issued in error and is not a valid vulnerability. Notes: All references and descriptions in this candidate have been removed to prevent accidental usage.

YAML::Syck versions before 1.38 for Perl has an out-of-bounds read. The base60 (sexagesimal) parsing code in perl_syck.h has a buffer underflow bug in both int#base60 and float#base60 handlers. When processing the leftmost segment of a colon-separated value (e.g., the 1 in 1:30:45), the inner while loop can decrement a pointer past the start of the string buffer: while ( colon >= ptr && *colon != ':' ) { colon--; } if ( *colon == ':' ) *colon = '\0'; // colon may be ptr-1 here When no colon is found (final/leftmost segment), colon becomes ptr-1, and the subsequent *colon dereference reads one byte before the allocated buffer.

JunoClaw is an agentic AI platform built on Juno Network. Prior to 0.x.y-security-1, the WAVS bridge's computeDataVerify called fetch() on agent-supplied URLs without validating scheme, port, or resolved IP, resulting in an SSRF vulnerability. This vulnerability is fixed in 0.x.y-security-1.

JunoClaw is an agentic AI platform built on Juno Network. Prior to 0.x.y-security-1, every MCP write tool (send_tokens, execute_contract, instantiate_contract, upload_wasm, ibc_transfer, etc.) accepted 'mnemonic: string' as an explicit tool-call parameter. The BIP-39 seed was consequently embedded in the LLM tool-call JSON, exposing it to any transport, log, or telemetry surface in the path between the LLM provider and the MCP process. This vulnerability is fixed in 0.x.y-security-1.

JunoClaw is an agentic AI platform built on Juno Network. Prior to 0.x.y-security-1, substring-based blocklist in plugin-shell's command-safety check could be bypassed by adversarial argument constructions, allowing unauthorized command execution on the host when combined with the companion advisory. Pre-patch, the check was applied to the raw command string rather than the parsed first token. This vulnerability is fixed in 0.x.y-security-1.