Search: “Ollama”

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DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Vulnerability 20 Malware 14 Ransomware 9 AI safety & security 7 AI industry 7 Model release 7 AI tools & infra 5 Tools 5 Exploit / PoC 5 Policy & legal 4 Threat actor 2 Phishing & fraud 2 Data breach 1

SeverityAll critical 24 high 20 medium 15 low 4 info 25

A Malicious Webpage Could Poison Your Local AI Model Behind NVIDIA NemoClaw

Oasis Security found NVIDIA NemoClaw's Ollama binding to 0.0.0.0 enables DNS rebinding attacks that let attacker pages poison model chat templates with persistent hidden instructions.

Oasis Security disclosed that NVIDIA NemoClaw on Windows/WSL paths binds Ollama to 0.0.0.0:11434 without authentication, exposing the API to browser-based DNS rebinding attacks from malicious webpages. An attacker can then modify the model's chat template via /api/create, planting hidden instructions that run on every subsequent inference and persist across conversations, invisible to API consumers. NemoClaw v0.0.35 fixed the issue on macOS and Linux; no fix exists for Windows and WSL paths beyond a warning in v0.0.34. Ollama's own 2024 fix (CVE-2024-28224) added Host header validation, but it is skipped when bound to non-loopback addresses. No exploitation has been reported as of August 25, 2026.

The Hacker NewsAug 25, 15:58 UTC · 22d agoAI safety & security CVE-2024-282241

Critical Flaws in Ollama AI Framework Could Enable DoS, Model Theft, and Poisoning

The Hacker NewsNov 5, 03:07 UTC · Nov 5, 2024AI safety & security CVE-2024-39719 CVE-2024-39720 CVE-2024-39721+2 CVEs1

Using LLMs as a reverse engineering sidekick

Cisco TalosJul 31, 10:00 UTC · Jul 31, 2025Malware2

We Scanned 1 Million Exposed AI Services. Here's How Bad the Security Actually Is

The Hacker NewsMay 5, 10:30 UTC · May 5, 2026Vulnerability

The Coding-Agent Trap: When a "Free" LLM Endpoint Is the Adversary, (Mon, Aug 31st)

A SANS honeypot caught a real coding-agent session routed to a rogue "free" LLM endpoint, exposing a Windows user's transcript and tool outputs.

A SANS analyst describes how an internet-exposed inference honeypot was discovered, relabeled with sought-after model names like DeepSeek, and enrolled in infrastructure serving "free" LLM backends. On 2026-08-30 an opencode terminal coding agent sent an 88-message, 224 KB transcript 210 times in 91 seconds via a China Unicom relay, exposing directory listings, tool outputs and read file portions. The analyst frames tool-enabled agents treating model endpoints as trusted control planes as a novel risk — a "rogue model endpoint" that could request tool executions on the user's machine.

SANS Internet Storm CenterAug 31, 20:00 UTC · 16d agoAI safety & security1

Amazon Kiro Prompt Injection Can Exfiltrate Sensitive Data Through Kiro Powers

Mindgard found a prompt injection flaw in Amazon Kiro IDE letting attacker-controlled workspace files exfiltrate sensitive local data; fixed in version 0.8.140.

Mindgard disclosed a prompt injection flaw in Amazon Kiro, an agentic AI IDE, that lets attacker-controlled repository content steer the agent into exfiltrating sensitive workspace data through Kiro Powers, which bundles MCP server configurations, POWER.md steering files, hooks, and contextual knowledge. Exploitation requires the user to open a malicious project via a workspace file and send any message to the agent; difficulty is rated low and it works in both trusted and untrusted workspaces. Amazon fixed the issue in Kiro IDE 0.8.140; the flaw has no CVE identifier and follows earlier Kiro bugs including CVE-2026-10591, plus related prompt-injection and code-execution issues in Codex CLI, Cursor, Gemini CLI, Copilot CLI, and Claude Code.

The Hacker NewsAug 28, 18:35 UTC · 19d agoAI safety & security CVE-2026-10591 CVE-2026-35603 CVE-2026-257251

Kimwolf v7 Android Botnet Makes HTTP/2 DDoS Traffic Look Like Legitimate Browsing

New Kimwolf v7 Android botnet adds HTTP/2 DDoS floods with Chrome fingerprints and takedown-resistant ENS/Tor C2.

Palo Alto Networks Unit 42 discovered Kimwolf v7, an evolution of the Kimwolf/AISURU Android and IoT botnet first tracked in February 2026. The new version performs HTTP/2 floods mimicking Chrome browser fingerprints and uses Ethereum Name Service, Tor hidden services, and a local proxy for resilient C2. The botnet targets Android TV boxes via ADB on port 5555 and offloads propagation to an external loader.

The Hacker NewsAug 15, 00:00 UTC · Aug 15, 2026Malware in the wildCVE-2024-36401