First reported theregister.com
Lead dispatch
First reported · updated · 3 reports embracethered.com
AWS Kiro: Arbitrary Code Execution via Indirect Prompt Injection
Researchers found a vulnerability (CVE-2026-10591) in AWS Kiro, an agentic IDE, where hidden instructions planted in a web page or source file that Kiro processes can trigger indirect prompt injection to rewrite Kiro's own MCP server configuration (~/.kiro/settings/mcp.json) or allowlist arbitrary Bash commands in .vscode/settings.json, achieving arbitrary code execution on the developer's machine with no approval prompt. The human-in-the-loop approval boundary is bypassed because Kiro can write to these config files without user consent, and AWS has issued a fix and CVE.indirect-prompt-injection · prompt-injection · remote-code-execution · tool-abuse · config-poisoning
ai-agents · mcp · llm · agentic-ide
The wire · latest
First reported thehackernews.com
Kimi K3 Agents Found Redis Zero-Days and Built RCE Exploit, Researchers Say
Researchers report that Kimi K3 AI agents autonomously discovered multiple Redis zero-day memory-corruption flaws and built working authenticated RCE proof-of-concept exploits against stock Redis 6.2.22, 7.4.9, 8.6.4, and 8.8.0; the chains abuse RESTORE (plus EVAL/XGROUP and the RedisBloom module), and Redis shipped seven security releases on July 23 to fix the Streams shared-NACK use-after-free and RedisBloom/TDigest out-of-bounds writes. Defenders are advised to upgrade and revoke RESTORE from accounts that do not need it. Details →First reported anthropic.com
Measuring LLMs' impact on N-day exploits
Anthropic's Frontier Red Team measured how much large language models can accelerate N-day exploit development, finding that its Claude Mythos Preview model autonomously built 8 working code-execution exploits across 18 recent Firefox patches and produced 8 full privilege-escalation chains from 21 Windows kernel patches. The research demonstrates that even public models with safeguards disabled can reverse-engineer patch diffs into exploits, collapsing the traditional weeks-long patch gap to hours. Details →First reported quentinkaiser.be
AI Assisted Vulnerability Research on Embedded Targets | QTNKSR
Security researcher Quentin Kaiser documents an experiment using OpenAI's Codex coding harness (running gpt-5.x models) as an autonomous agent for vulnerability research and exploit development against embedded real-time operating systems, including eCos and Broadcom BFC cable modems. The agent is equipped with skill sets (Trail of Bits marketplace, ghidra-rpc, and a custom eCos offensive-research skill) to navigate firmware, reverse-engineer with Ghidra/radare2, and stage exploits. Details →First reported arxiv.org
VEXA_IoT: Autonomous IoT Vulnerability EXploitation using AI Agents
VEXA_IoT is an autonomous multi-agent framework by Swinea et al. that uses LLM-based reasoning combined with offensive security tools (Nmap, Metasploit, bettercap) to perform reconnaissance, plan attack sequences, and exploit IoT vulnerabilities. Evaluated across IoTGoat and Metasploitable environments and ten OWASP IoT attack scenarios, it achieved a 95.0% overall success rate across 260 attack executions with execution times under two minutes. Details →First reported darkreading.com
Chinese LLMs Broaden the Gap Between Attackers & Defenders
Dark Reading reports that two new Chinese AI models—Zhipu AI's open-weight GLM 5.2 and 360 Security Technology's Tulongfeng ('Dragon Saber')—are performing strongly on vulnerability-discovery benchmarks, with GLM 5.2 said to outperform Anthropic Opus and GPT-5.5 on some bug-finding tests at low cost, and 360 claiming its tool has already found more than 3,400 vulnerabilities. Experts warn that commodity models now widen the gap between attackers and defenders. Details →How the wire is made
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