Phoenix IT

Category: Cyber Security

New PoC Exploit for Apache OfBiz Vulnerability Poses Risk to ERP Systems

New PoC Exploit for Apache OfBiz Vulnerability Poses Risk to ERP Systems

Cybersecurity researchers have developed a proof-of-concept (PoC) code that exploits a recently disclosed critical flaw in the Apache OfBiz open-source Enterprise Resource Planning (ERP) system to execute a memory-resident payload. The vulnerability in question is CVE-2023-51467 (CVSS score: 9.8), a bypass for another severe shortcoming in the same software (CVE-2023-49070, CVSS score: 9.8) that could be weaponized to bypass authentication and

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Threat Actors Increasingly Abusing GitHub for Malicious Purposes

Threat Actors Increasingly Abusing GitHub for Malicious Purposes

The ubiquity of GitHub in information technology (IT) environments has made it a lucrative choice for threat actors to host and deliver malicious payloads and act as dead drop resolvers, command-and-control, and data exfiltration points. “Using GitHub services for malicious infrastructure allows adversaries to blend in with legitimate network traffic, often bypassing traditional security defenses and

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DoJ Charges 19 Worldwide in $68 Million xDedic Dark Web Marketplace Fraud

DoJ Charges 19 Worldwide in $68 Million xDedic Dark Web Marketplace Fraud

The U.S. Department of Justice (DoJ) said it charged 19 individuals worldwide in connection with the now-defunct xDedic Marketplace, which is estimated to have facilitated more than $68 million in fraud. In wrapping up its investigation into the dark web portal, the agency said the transnational operation was the result of close cooperation with law enforcement authorities from

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NIST Warns of Security and Privacy Risks from Rapid AI System Deployment

NIST Warns of Security and Privacy Risks from Rapid AI System Deployment

The U.S. National Institute of Standards and Technology (NIST) is calling attention to the privacy and security challenges that arise as a result of increased deployment of artificial intelligence (AI) systems in recent years. “These security and privacy challenges include the potential for adversarial manipulation of training data, adversarial exploitation of model vulnerabilities to adversely affect the

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