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Maintained by

Truong (Jack) Luu

Information Systems Researcher

AI Sec Watch

The security intelligence platform for AI teams

AI security threats move fast and get buried under hype and noise. Built by an Information Systems Security researcher to help security teams and developers stay ahead of vulnerabilities, privacy incidents, safety research, and policy developments.

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Daily BriefingSunday, September 27, 2026
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Comprehensive Survey Maps AI Auditing Landscape: A new academic survey consolidates existing frameworks, principles, and methodologies used to audit AI systems for safety, fairness, and reliability, providing practitioners with a structured overview of current evaluation approaches.

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01

CVE-2024-13816: The Aiomatic - Automatic AI Content Writer & Editor, GPT-3 & GPT-4, ChatGPT ChatBot & AI Toolkit plugin for WordPress is

security
Mar 8, 2025

The Aiomatic WordPress plugin (used for AI-powered content writing) has a security flaw in versions up to 2.3.6 where it fails to check user permissions properly, allowing attackers with basic user accounts (Subscriber level and above) to perform dangerous actions like deleting posts, removing files, and clearing logs that they shouldn't be able to access. This vulnerability puts user data at risk of unauthorized modification or deletion.

Critical This Week5 issues
critical

CVE-2026-84462: Zammad is a web based open source helpdesk/customer support system. Prior to 7.1.2, a security filter that protects Zamm

CVE-2026-84462NVD/CVE DatabaseSep 25, 2026
Sep 25, 2026

Fix: The vulnerability was partially patched in version 2.3.5. Users should update to version 2.3.7 or later for a complete fix (though the source only explicitly mentions a partial patch in 2.3.5).

NVD/CVE Database
02

AI Safety Newsletter #49: Superintelligence Strategy

policysafety
Mar 6, 2025

A new policy paper called 'Superintelligence Strategy' proposes that advanced AI systems surpassing human capabilities in most areas pose national security risks requiring a three-part approach: deterrence (using threat of retaliation to prevent AI dominance races), nonproliferation (restricting advanced AI access to non-state actors like terrorist groups), and competitiveness (building AI strength domestically). The deterrence strategy, called Mutual Assured AI Malfunction (MAIM), mirrors nuclear strategy by threatening cyberattacks on destabilizing AI projects to prevent any single country from gaining dangerous AI superiority.

Fix: The paper explicitly proposes three nonproliferation measures: Compute Security (governments track and monitor high-end AI chips to prevent smuggling), Information Security (AI model weights, which are the trained parameters that define how an AI behaves, are protected like classified intelligence), and AI Security (developers implement technical safety measures to detect and prevent misuse, similar to how DNA synthesis services block orders for dangerous bioweapon sequences).

CAIS AI Safety Newsletter
03

CVE-2025-1953: A vulnerability has been found in vLLM AIBrix 0.2.0 and classified as problematic. Affected by this vulnerability is an

security
Mar 4, 2025

A vulnerability (CVE-2025-1953) was found in vLLM AIBrix 0.2.0 in the Prefix Caching component (a feature that speeds up AI model processing by reusing cached data) that produces insufficiently random values, potentially compromising security. The vulnerability is rated as low severity and difficult to exploit, but it affects the cryptographic security of the system.

Fix: Upgrade to vLLM AIBrix version 0.3.0, which addresses this issue.

NVD/CVE Database
04

CVE-2025-23668: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in NotFound ChatGPT O

security
Mar 3, 2025

A cross-site scripting (XSS, where an attacker injects malicious code into a webpage to trick users) vulnerability was found in the ChatGPT Open AI Images & Content for WooCommerce plugin, affecting versions up to 2.2.0. The vulnerability allows attackers to inject harmful scripts through reflected XSS (where malicious input is immediately reflected back to the user without proper filtering).

NVD/CVE Database
05

CVE-2025-25185: GPT Academic provides interactive interfaces for large language models. In 3.91 and earlier, GPT Academic does not prope

security
Mar 3, 2025

CVE-2025-25185 is a vulnerability in GPT Academic (version 3.91 and earlier) where the software does not properly handle soft links (special files that point to other files). An attacker can create a malicious soft link, upload it in a compressed tar.gz file, and when the server decompresses it, the soft link will point to sensitive files on the victim's server, allowing the attacker to read all server files.

Fix: A patch is available at https://github.com/binary-husky/gpt_academic/commit/5dffe8627f681d7006cebcba27def038bb691949

NVD/CVE Database
06

Small Businesses’ Guide to the AI Act

policy
Feb 18, 2025

The EU AI Act includes specific support measures for small and medium-sized enterprises (SMEs, defined as companies with fewer than 250 employees and under €50 million in annual revenue). These measures include regulatory sandboxes (controlled testing environments for AI products outside normal regulatory rules), reduced compliance fees scaled to company size, simplified documentation forms, free training, and dedicated support channels to help SMEs follow the AI Act's requirements.

Fix: The source explicitly mentions several mitigation measures for SME compliance: (1) Regulatory sandboxes with free access and simple procedures for SMEs to test AI systems in controlled conditions, (2) Assessment fees proportional to SME size with regular review to lower costs, (3) Simplified technical documentation forms developed by the Commission and accepted by national authorities, (4) Training activities tailored to SMEs, (5) Dedicated guidance channels to answer compliance questions, and (6) Proportionate obligations for AI model providers with separate Key Performance Indicators for SMEs under the Code of Practice.

EU AI Act Updates
07

ChatGPT Operator: Prompt Injection Exploits & Defenses

securityresearch
Feb 17, 2025

ChatGPT Operator is an AI agent that can control web browsers to complete tasks, but it is vulnerable to prompt injection (tricking the AI by hiding malicious instructions in its input) that could allow attackers to steal data or perform unauthorized actions. OpenAI has implemented three defensive layers: user monitoring to watch what the agent does, inline confirmation requests within the chat asking the user to approve actions, and out-of-band confirmation requests that appear when the agent crosses website boundaries, though these mitigations are not foolproof.

Fix: OpenAI has implemented three primary mitigation techniques: (1) User Monitoring, where users are prompted to observe what Operator is doing, what text it types, and which buttons it clicks, likely based on a data classification model that detects sensitive information on screen; (2) Inline Confirmation Requests, where Operator asks the user within the chat conversation to approve certain actions or clarify requests before proceeding; and (3) Out-of-Band Confirmation Requests, which appear when Operator navigates across websites or performs complex actions, informing the user what is about to happen and giving them the option to pause or resume the operation.

Embrace The Red
08

CVE-2024-3303: An issue was discovered in GitLab EE affecting all versions starting from 16.0 prior to 17.6.5, starting from 17.7 prior

security
Feb 13, 2025

A vulnerability (CVE-2024-3303) was found in GitLab EE (a version control platform for managing code) that allows attackers to steal the contents of private issues through prompt injection (tricking the AI by hiding instructions in its input). The flaw affects multiple versions: 16.0 through 17.6.4, 17.7 through 17.7.3, and 17.8 through 17.8.1.

NVD/CVE Database
09

CVE-2024-53880: NVIDIA Triton Inference Server contains a vulnerability in the model loading API, where a user could cause an integer ov

security
Feb 12, 2025

NVIDIA Triton Inference Server has a vulnerability where loading a model with an extremely large file size causes an integer overflow or wraparound error (a type of bug where a number gets too big for its storage space and wraps around to an incorrect value), potentially causing a denial of service (making the system unavailable). The vulnerability exists in the model loading API (the interface used to load AI models into the server).

NVD/CVE Database
10

CVE-2024-12366: PandasAI uses an interactive prompt function that is vulnerable to prompt injection and run arbitrary Python code that c

security
Feb 11, 2025

PandasAI contains a vulnerability where its interactive prompt function can be exploited through prompt injection (tricking the AI by hiding instructions in its input), allowing attackers to run arbitrary Python code and achieve RCE (remote code execution, where an attacker can run commands on a system they don't own) instead of just getting explanations from the language model.

NVD/CVE Database
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critical

GHSA-fm8p-53ww-hf6w: DBHub HTTP transport DNS rebinding allows unauthenticated browser-origin SQL execution

CVE-2026-61742GitHub Advisory DatabaseSep 24, 2026
Sep 24, 2026
critical

GHSA-g5f9-3xfg-p9mf: Decepticon: Role-boundary forgery via ChatML special-token literals in web crawl output composed into LLM context

CVE-2026-61732GitHub Advisory DatabaseSep 24, 2026
Sep 24, 2026
critical

CVE-2026-95985 - Kiro IDE Allows Agentic Writes to Global Configurations While Working in Untrusted Workspaces

AWS Security BulletinsSep 24, 2026
Sep 24, 2026
critical

Critical Bifrost AI Gateway Flaw Lets Attackers Run Commands Without Credentials

The Hacker NewsSep 22, 2026
Sep 22, 2026