Phoenix IT

Category: Cyber Security

LiteLLM CVE-2026-42208 SQL Injection Exploited within 36 Hours of Disclosure

LiteLLM CVE-2026-42208 SQL Injection Exploited within 36 Hours of Disclosure

In yet another instance of threat actors quickly jumping on the exploitation bandwagon, a newly disclosed critical security flaw in BerriAI’s LiteLLM Python package has come under active exploitation in the wild within 36 hours of the bug becoming public knowledge. The vulnerability, tracked as CVE-2026-42208 (CVSS score: 9.3), is an SQL injection that could be exploited to modify

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Researchers Discover Critical GitHub CVE-2026-3854 RCE Flaw Exploitable via Single Git Push

Researchers Discover Critical GitHub CVE-2026-3854 RCE Flaw Exploitable via Single Git Push

Cybersecurity researchers have disclosed details of a critical security vulnerability impacting GitHub.com and GitHub Enterprise Server that could allow an authenticated user to obtain remote code execution with a single “git push” command. The flaw, tracked as CVE-2026-3854 (CVSS score: 8.7), is a case of command injection that could allow an attacker with push access to a

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APT28 Targeted European Entities Using Webhook-Based Macro Malware

APT28 Targeted European Entities Using Webhook-Based Macro Malware

The Russia-linked state-sponsored threat actor tracked as APT28 has been attributed to a new campaign targeting specific entities in Western and Central Europe. The activity, per S2 Grupo’s LAB52 threat intelligence team, was active between September 2025 and January 2026. It has been codenamed Operation MacroMaze. “The campaign relies on basic tooling and the exploitation of legitimate services for infrastructure

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Anthropic Says Chinese AI Firms Used 16 Million Claude Queries to Copy Model

Anthropic Says Chinese AI Firms Used 16 Million Claude Queries to Copy Model

Anthropic on Monday said it identified “industrial-scale campaigns” mounted by three artificial intelligence (AI) companies, DeepSeek, Moonshot AI, and MiniMax, to illegally extract Claude’s capabilities to improve their own models. The distillation attacks generated over 16 million exchanges with its large language model (LLM) through about 24,000 fraudulent accounts in violation of its terms of

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