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All news with #unit 42 tag

104 articles · page 6 of 6

GenAI-Enabled Phishing: Risks from AI Web Services

🚨 Unit 42 analyzes how rapid adoption of web-based generative AI is creating new phishing attack surfaces. Attackers are leveraging AI-powered website builders, writing assistants and chatbots to generate convincing phishing pages, clone brands and automate large-scale campaigns. Unit 42 observed real-world credential-stealing pages and misuse of trial accounts lacking guardrails. Customers are advised to use Advanced URL Filtering and Advanced DNS Security and report incidents to Unit 42 Incident Response.
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Erlang/OTP SSH RCE: CVE-2025-32433 Exploitation Wave

⚠️ Unit 42 details active exploitation of CVE-2025-32433, a critical (CVSS 10.0) unauthenticated RCE in the Erlang/OTP SSH daemon that processes SSH protocol messages prior to authentication. Researchers reproduced and validated the bug and observed exploit bursts from May 1–9, 2025, with payloads delivering reverse shells and DNS-based callbacks to randomized subdomains. Immediate remediation is to upgrade to OTP-27.3.3, OTP-26.2.5.11 or OTP-25.3.2.20 (or later); temporary measures include disabling SSH, restricting access and applying Unit 42 signature 96163.
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Threat Actor Groups Tracked by Unit 42 — Updated 2025

📌 This Unit 42 reference catalog enumerates selected threat actor groups tracked by Palo Alto Networks, organized by assigned constellation and primary motivation (nation-state, cybercrime, ransomware). It lists aliases, activity summaries, typical sectors impacted and observed TTPs, and highlights recent additions through Aug. 1, 2025. Use of Unit 42 telemetry and the Attribution Framework informs assessments and updates.
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Unit 42 Attribution Framework: Systematic Attribution

🔎 Unit 42's Attribution Framework defines a structured, repeatable process for linking observed cyber activity to clusters, temporary groups, or formally named threat actors. It pairs the Diamond Model with the Admiralty System to score source reliability and information credibility, guiding analysts through minimum standards, naming conventions, and promotion criteria to reduce premature attribution.
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