#maliciousdocuments — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #maliciousdocuments, aggregated by home.social.
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Adobe Reader zero-day flaw under active exploitation
Malicious PDF documents have been hiding a nasty secret: a zero-day vulnerability in Adobe Reader that's been exploited by attackers since at least December, allowing them to spread malware and wreak havoc. This stealthy threat highlights the urgent need for better detection and response to these types of attacks.
#ZeroDay #AdobeReader #EmergingThreats #VulnerabilityExploitation #MaliciousDocuments
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A study by #Anthropic, the UK AI Security Institute, and the Alan Turing Institute found that as few as 250 #maliciousdocuments can #backdoor large language models (#LLMs), regardless of size. This challenges the assumption that attackers need a percentage of #trainingdata, suggesting a fixed number of #poisoneddocuments is sufficient. https://www.anthropic.com/research/small-samples-poison?eicker.news #tech #media #news
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A study by #Anthropic, the UK AI Security Institute, and the Alan Turing Institute found that as few as 250 #maliciousdocuments can #backdoor large language models (#LLMs), regardless of size. This challenges the assumption that attackers need a percentage of #trainingdata, suggesting a fixed number of #poisoneddocuments is sufficient. https://www.anthropic.com/research/small-samples-poison?eicker.news #tech #media #news
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A study by #Anthropic, the UK AI Security Institute, and the Alan Turing Institute found that as few as 250 #maliciousdocuments can #backdoor large language models (#LLMs), regardless of size. This challenges the assumption that attackers need a percentage of #trainingdata, suggesting a fixed number of #poisoneddocuments is sufficient. https://www.anthropic.com/research/small-samples-poison?eicker.news #tech #media #news
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A study by #Anthropic, the UK AI Security Institute, and the Alan Turing Institute found that as few as 250 #maliciousdocuments can #backdoor large language models (#LLMs), regardless of size. This challenges the assumption that attackers need a percentage of #trainingdata, suggesting a fixed number of #poisoneddocuments is sufficient. https://www.anthropic.com/research/small-samples-poison?eicker.news #tech #media #news
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A study by #Anthropic, the UK AI Security Institute, and the Alan Turing Institute found that as few as 250 #maliciousdocuments can #backdoor large language models (#LLMs), regardless of size. This challenges the assumption that attackers need a percentage of #trainingdata, suggesting a fixed number of #poisoneddocuments is sufficient. https://www.anthropic.com/research/small-samples-poison?eicker.news #tech #media #news
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Hackers Using Dropbox And Google Docs To Deliver Orcinius Malware https://gbhackers.com/hackers-dropbox-google-orcinius-malware/ #VulnerabilityAnalysis #MaliciousDocuments #CyberSecurityNews #OrciniusMalware #CyberAttack #VBAStomping #Malware
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Hackers Using Dropbox And Google Docs To Deliver Orcinius Malware https://gbhackers.com/hackers-dropbox-google-orcinius-malware/ #VulnerabilityAnalysis #MaliciousDocuments #CyberSecurityNews #OrciniusMalware #CyberAttack #VBAStomping #Malware
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Hackers Using Dropbox And Google Docs To Deliver Orcinius Malware https://gbhackers.com/hackers-dropbox-google-orcinius-malware/ #VulnerabilityAnalysis #MaliciousDocuments #CyberSecurityNews #OrciniusMalware #CyberAttack #VBAStomping #Malware
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Hackers Using Dropbox And Google Docs To Deliver Orcinius Malware https://gbhackers.com/hackers-dropbox-google-orcinius-malware/ #VulnerabilityAnalysis #MaliciousDocuments #CyberSecurityNews #OrciniusMalware #CyberAttack #VBAStomping #Malware