Veeam, Terraform MCP, Django Patch Critical Flaws, Led by CVSS 10.0 Cross
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Hackers Can Turn Vulnerable LiteLLM AI Gateways Into Root Access and Cloud Credential Theft
Wiz found multiple LiteLLM AI gateway flaws, including a CVE-2026-59822 MCP auth bypass added to CISA KEV, enabling root code execution and cloud credential theft.
An internet scan of 3,074 exposed LiteLLM instances found 294 (9.6%) accepting the default sk-1234 master key and 191 (6.2%) requiring no authentication. CVE-2026-59822 lets a single-character Bearer token establish a valid MCP session via an OAuth2 fallback in versions before 1.84.0; the flaw is in CISA's Known Exploited Vulnerabilities catalog. CVE-2026-59821 allows Python code execution as root in the gateway container via unsanitized Custom Code Guardrails registration before 1.82.0-stable, and CVE-2026-35029 permits config changes leading to RCE and admin takeover. Admin access plus pass-through endpoints can reach cloud metadata services to steal IAM credentials.
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ThreatsDay Bulletin: FortiGate RaaS, Citrix Exploits, MCP Abuse, LiveChat Phish & More
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Week in review: Microsoft fixes exploited Office zero-day, Fortinet patches FortiCloud SSO flaw
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AI agents carried out every step of this ransomware attack – then left the victim an 80-page security audit
Unit 42 says a human attacker used AI agents to execute a full ransomware intrusion in under 10 hours, leaving the victim an 80-page security audit.
Palo Alto Networks Unit 42 incident responders report a human ransomware operator used frontier AI models and agentic attack frameworks to breach an enterprise in under 10 hours, work that normally takes human operators around two weeks. AI agents performed reconnaissance, breached a public API endpoint to tunnel into the network, scraped code repositories for hard-coded tokens and service passwords, then used them to steal master administrative credentials from the secret-management system for root access. Specialist pivot agents validated access to cloud, identity, CI/CD, container and SaaS environments, and the attacker hijacked CI/CD workflows to steal cloud keys and turn the victim's cloud AI services into post-compromise infrastructure. The agents left an 80-page audit detailing dozens of exploited findings.
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Actively Exploited nginx-ui Flaw (CVE-2026-33032) Enables Full Nginx Server Takeover
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Microsoft Issues Security Fixes for 56 Flaws, Including Active Exploit and Two Zero
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Week in review: F5 data breach, Microsoft patches three actively exploited zero-days
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deepseek-ai/DeepSeek-V4.1-Flash — new model trending #28 on Hugging Face
DeepSeek releases DeepSeek-V4.1-Flash, a 552B-parameter multimodal MoE model with 1M-token context and KV cache cut to 890 bytes per token.
DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with a 552B-parameter backbone that activates 8B parameters per token during prefill and 16B during decode. It uses a Causal Encoder-Decoder architecture, Compressed Sparse Attention 2, and FP4 KV caching to reduce the global KV cache footprint to 890 bytes per token, roughly one quarter of DeepSeek-V4-Flash. The model was trained from scratch on 45T tokens with context extended to 1M tokens, includes an Engram conditional-memory module (196B parameters), and is released under the MIT license. Post-training uses SFT, RL, and on-policy distillation with large-scale automated synthesis of agentic tasks and a controllable reasoning effort setting from 1 to 100.
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