Tag: networks
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Alerts: CISA Adds Two Known Exploited Vulnerabilities to Catalog
Source URL: https://www.cisa.gov/news-events/alerts/2025/01/13/cisa-adds-two-known-exploited-vulnerabilities-catalog Source: Alerts Title: CISA Adds Two Known Exploited Vulnerabilities to Catalog Feedly Summary: CISA has added two new vulnerabilities to its Known Exploited Vulnerabilities Catalog, based on evidence of active exploitation. CVE-2024-12686 BeyondTrust Privileged Remote Access (PRA) and Remote Support (RS) OS Command Injection Vulnerability CVE-2024-48365 Qlik Sense HTTP Tunneling Vulnerability These types of vulnerabilities…
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Unit 42: One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery With Graph Neural Networks
Source URL: https://unit42.paloaltonetworks.com/graph-neural-networks/ Source: Unit 42 Title: One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery With Graph Neural Networks Feedly Summary: Graph neural networks aid in analyzing domains linked to known attack indicators, effectively uncovering new malicious domains and cybercrime campaigns. The post One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery…
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The Register: Miscreants ‘mass exploited’ Fortinet firewalls, ‘highly probable’ zero-day used
Source URL: https://www.theregister.com/2025/01/14/miscreants_mass_exploited_fortinet_firewalls/ Source: The Register Title: Miscreants ‘mass exploited’ Fortinet firewalls, ‘highly probable’ zero-day used Feedly Summary: Ransomware ‘not off the table,’ Arctic Wolf threat hunter tells El Reg Miscreants running a “mass exploitation campaign" against Fortinet firewalls, which peaked in December, may be using an unpatched zero-day vulnerability to compromise the equipment, according…
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The Register: Microsoft sues ‘foreign-based’ criminals, seizes sites used to abuse AI
Source URL: https://www.theregister.com/2025/01/13/microsoft_sues_foreignbased_crims_seizes/ Source: The Register Title: Microsoft sues ‘foreign-based’ criminals, seizes sites used to abuse AI Feedly Summary: Crooks stole API keys, then started a hacking-as-a-service biz Microsoft has sued a group of unnamed cybercriminals who developed tools to bypass safety guardrails in its generative AI tools. The tools were used to create harmful…
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Slashdot: FBI Chief Warns China Poised To Wreak ‘Real-World Harm’ on US Infrastructure
Source URL: https://news.slashdot.org/story/25/01/13/1443251/fbi-chief-warns-china-poised-to-wreak-real-world-harm-on-us-infrastructure?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: FBI Chief Warns China Poised To Wreak ‘Real-World Harm’ on US Infrastructure Feedly Summary: AI Summary and Description: Yes Summary: FBI Director Christopher Wray’s remarks highlight the increasing threat posed by China’s cyber activities to U.S. national security. He emphasizes that Chinese hackers have gained access to critical infrastructure,…
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Hacker News: Entropy of a Large Language Model output
Source URL: https://nikkin.dev/blog/llm-entropy.html Source: Hacker News Title: Entropy of a Large Language Model output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text discusses the functionalities and implications of large language models (LLMs) like ChatGPT from an information theoretic perspective, particularly focusing on concepts such as token generation and entropy. This examination provides…
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Slashdot: New LLM Jailbreak Uses Models’ Evaluation Skills Against Them
Source URL: https://it.slashdot.org/story/25/01/12/2010218/new-llm-jailbreak-uses-models-evaluation-skills-against-them?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: New LLM Jailbreak Uses Models’ Evaluation Skills Against Them Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses a novel jailbreak technique for large language models (LLMs) known as the ‘Bad Likert Judge,’ which exploits the models’ evaluative capabilities to generate harmful content. Developed by Palo Alto…
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Hacker News: 41% of Employers Worldwide Say They’ll Reduce Staff by 2030 Due to AI
Source URL: https://gizmodo.com/41-of-employers-worldwide-say-theyll-reduce-staff-by-2030-due-to-ai-2000548131 Source: Hacker News Title: 41% of Employers Worldwide Say They’ll Reduce Staff by 2030 Due to AI Feedly Summary: Comments AI Summary and Description: Yes Summary: The World Economic Forum’s latest survey highlights expectations around generative AI’s impact on employment, indicating a shift in skills required, job roles at risk, and the…