Threats Tagged 'cloud security'

TeamPCP has launched a supply chain attack targeting LiteLLM, an open-source Python library used in 36% of cloud environments. Malicious versions 1.82.7 and 1.82.8 were published on PyPI, employing sophisticated techniques for payload delivery and persistence. The compromised packages exploit Python's .pth mechanism for stealthy execution across any Python process. The malware collects sensitive data including API keys, cloud credentials, and CI/CD secrets, encrypting and exfiltrating them to attacker-controlled domains. This attack follows TeamPCP's previous compromises of Aqua Security's Trivy and Checkmarx tools, highlighting an ongoing campaign against the open-source ecosystem. The incident underscores the potential for widespread impact and the need for vigilance in software supply chain security.

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This analysis reveals the growing threat of malicious OAuth applications in Microsoft Entra ID, which attackers use for persistence and privilege escalation. The report details how these apps blend in with legitimate integrations, making detection challenging. It describes the creation of OAuth Apps Scout, an automated detection pipeline that identifies emerging malicious OAuth apps. The research uncovered multiple campaigns, including one involving 19 apps impersonating well-known brands. The report compares tactics from 2019 to 2025, showing an evolution in attacker strategies from Microsoft impersonation to third-party SaaS spoofing. It concludes with actionable defense strategies for organizations to protect against these threats.

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An AWS environment was targeted in a sophisticated attack, with the threat actor gaining administrative privileges in under 10 minutes. The operation showed signs of leveraging large language models for automation and decision-making. Initial access was obtained through credentials found in public S3 buckets, followed by rapid privilege escalation via Lambda function code injection. The attacker moved laterally across 19 AWS principals, abused Amazon Bedrock for LLMjacking, and launched GPU instances for potential model training. The attack involved extensive reconnaissance, data exfiltration, and attempts to establish persistence. Notable techniques included IP rotation, role chaining, and the use of AI-generated code.

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An AWS access key compromise led to a sophisticated SES abuse campaign in May 2025. The attacker exploited the stolen key to bypass SES restrictions, verify new sender identities, and conduct a large-scale phishing operation. They used multi-regional PutAccountDetails requests to escape the SES sandbox, a novel technique in SES abuse. The campaign involved creating multiple email identities using attacker-owned and legitimate domains with weak DMARC protections. The subsequent phishing campaign targeted various organizations, using tax-related lures to steal credentials. This incident highlights the importance of monitoring cloud service usage, especially for services like SES that can be exploited for monetization.

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In June 2025, Google's Salesforce instance was breached by UNC6040 & UNC6240 using vishing, OAuth app abuse, and anonymity layers. The attackers stole business data of small and medium-sized clients. A parallel attack by UNC6395 compromised Salesloft Drift's Salesforce integration, affecting hundreds of customers. Both incidents involved sophisticated social engineering, OAuth token abuse, and data exfiltration via TOR. The attacks are linked to the ShinyHunters group and share similarities with other high-profile breaches targeting various industries. The incidents highlight vulnerabilities in SaaS environments and the need for improved security measures, including OAuth governance, identity management, and proactive monitoring.

MediumCampaignUnited KingdomGermanyFrance+4#salesforce#vishing#tor

This article explores the security implications of serverless authentication across major cloud platforms. It details how attackers target serverless functions to exploit vulnerabilities arising from insecure code and misconfigurations. The mechanics of serverless authentication are explained for AWS Lambda, Google Cloud Functions, and Azure Functions. The article outlines potential attack vectors for token exfiltration, including SSRF and RCE, and provides simulations demonstrating how tokens can be extracted and misused. Detection strategies are discussed, focusing on identifying serverless identities and anomalous behavior. Prevention measures are suggested, emphasizing the principle of least privilege and robust input validation. The article concludes by stressing the importance of understanding serverless credential mechanics and implementing proactive security measures to protect cloud environments.

MediumCampaignGermanyUnited KingdomFrance+3#ssrf#google cloud functions#rce