Ai-Security

🟠 High | Source: The Register — Security OpenAI’s Codex AI agent independently discovered and chained together multiple decade-old HTTP/2 denial-of-service techniques to bring down web servers within seconds, creating what researchers are calling an HTTP/2 bomb. This demonstrates that AI coding agents can autonomously rediscover and combine legacy attack methods into novel, highly effective exploits without human guidance. The incident raises significant concerns about the offensive security capabilities of large language model-based agents operating with minimal oversight. ...

🟠 High | Source: The Hacker News Agentic AI systems are increasingly being deployed in defence and security networks, but this introduces new attack surfaces — illustrated by reports that an unauthorised group claimed access to Anthropic’s Claude Mythos model within hours of a limited technical preview. The incident highlights that AI capabilities in high-stakes environments are only as secure as the infrastructure underpinning them. Without robust access controls, segmentation, and identity governance, agentic AI deployments can become a significant liability rather than a force multiplier. ...

🟡 Medium | Source: The Hacker News This is a weekly threat bulletin covering a broad range of active security issues, including AI agent exploitation, command-and-control tooling, ClickFix social engineering campaigns, JavaScript backdoors, and over 20 additional threat stories. It matters because it reflects the accelerating normalisation of sophisticated attack techniques being accessible to lower-skilled threat actors, and highlights emerging risks from AI systems being leveraged in real attacks. Architect’s Take: Use this bulletin as a prompt to review your threat model against ClickFix-style social engineering vectors and any AI agent integrations in your environment — particularly where agents have access to cloud APIs or can execute code. Ensure your JavaScript supply chain controls and browser security policies are current. ...

🟡 Medium | Source: The Hacker News This is a broad threat intelligence bulletin covering a range of current attack trends including malicious AI agents, command-and-control tooling, ClickFix social engineering, JavaScript backdoors, and more. It reflects the increasingly commoditised nature of offensive tooling, where even low-skilled threat actors now have access to sophisticated capabilities. The significance lies in the breadth of attack vectors being actively exploited across web, endpoint, and AI-adjacent surfaces. ...

🟠 High | Source: Schneier on Security Attackers are exploiting Meta’s AI support chatbot to hijack Instagram accounts by social-engineering the bot into adding a hacker-controlled email address and triggering a password reset. The attack requires no technical vulnerability in the traditional sense — the AI simply complies with the request after a verification code exchange. This highlights a significant trust and authorisation flaw in how Meta’s AI assistant handles account management actions on behalf of unauthenticated parties. ...

🟠 High | Source: The Register — Security Researchers have demonstrated that freely available open source AI models are sufficient to build self-spreading computer worms capable of exploiting known vulnerabilities at scale across enterprise networks — no expensive or specialised AI tools required. The study shows attackers no longer need cutting-edge proprietary models to automate vulnerability exploitation, dramatically lowering the barrier to entry for large-scale attacks. This represents a meaningful shift in the threat landscape, where mass exploitation of known but unpatched vulnerabilities becomes significantly cheaper and faster to operationalise. ...

🟢 Low | Source: AWS What’s New AWS Step Functions now integrates with Amazon Bedrock AgentCore (currently in preview) to allow AI agent reasoning steps — such as document classification and data extraction — to be embedded directly into automated workflows. This enables multiple agents to run in parallel or sequence within a single workflow, with human approval gates and full audit trails via CloudWatch. For security teams, this introduces AI-driven decision-making into business-critical automation pipelines, expanding the attack surface and governance considerations. ...

🟢 Low | Source: AWS What’s New AWS Step Functions now integrates with Amazon Bedrock AgentCore (currently in preview) to allow AI agent reasoning steps within automated workflows. This enables teams to embed LLM-based tasks such as document classification and data extraction directly into orchestrated pipelines, with parallel execution and human approval gates. Audit trails are available via CloudWatch, capturing agent inputs, outputs, and token usage. Architect’s Take: Review IAM permissions granted to Step Functions execution roles that invoke AgentCore harnesses — ensure least-privilege policies are applied, particularly around model invocation and tool access. Treat human approval steps as a mandatory control for any agentic action with write or destructive scope, and validate that CloudWatch audit logging is enabled before promoting any AgentCore-integrated workflow to production. ...

🟠 High | Source: The Hacker News A vulnerability in Google Gemini’s Android integration allowed malicious content embedded in notifications from apps such as WhatsApp, Slack, Signal, and SMS to hijack the AI assistant without requiring any installed malware. An attacker could craft a poisoned notification that caused Gemini to open browser windows, impersonate contacts, initiate calls, or corrupt the assistant’s long-term memory. This is a prompt injection attack exploiting the trust Gemini places in notification content it processes. ...

🟠 High | Source: The Hacker News A prompt injection vulnerability in Google Gemini on Android allowed hostile content embedded in notifications from apps such as WhatsApp, Slack, Signal, and SMS to hijack the AI assistant without requiring any malicious app to be installed. An attacker could craft a poisoned message or notification that caused Gemini to perform unauthorised actions — including impersonating contacts, initiating calls, or corrupting its long-term memory. The attack required no user interaction beyond the assistant processing the notification, making it particularly dangerous for enterprise users relying on AI-assisted workflows. ...