Search: “api key theft”

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CategoryAll Threat actor 32 Malware 21 Exploit / PoC 10 AI safety & security 9 Data breach 7 Advisory 6 Research 4 Vulnerability 4 Industry 2 Tools 2 Phishing & fraud 2 Ransomware 1 AI industry 1

SeverityAll critical 6 high 47 medium 33 low 0 info 15

Kubernetes Attack Lets Hackers Steal SPIFFE Workload Identities and Impersonate Applications

Unit 42 detailed a Kubernetes technique where node-root attackers spoof cgroup selectors to steal SPIFFE/SPIRE workload identities and impersonate applications.

Palo Alto Networks Unit 42 described a post-exploitation technique in which an attacker with root access to a Kubernetes node manipulates cgroup metadata so the local SPIRE agent issues valid SVIDs belonging to co-located workloads. Stolen X.509 or JWT SVIDs let the attacker impersonate victim applications over mutual TLS or pass identity-aware authorization, turning node compromise into lateral movement and privilege escalation. Unit 42 said it has not observed exploitation in the wild and released the open-source Spooffe tool so defenders can measure which identities are harvestable per node.

GBHackersupdated Sep 17, 11:02 UTC · 1d agofirst Sep 17, 10:36 UTC · 1d agoResearch 2 sources

SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise

SpyCloud survey of 750 security leaders finds compromised non-human identities are the top enterprise entry point, yet only 36% monitor them.

The 2026 Identity Threat Report surveyed 750 cybersecurity leaders at organizations with 500+ employees across North America and Europe. Compromised non-human identities (31%) were the most cited primary attacker entry point, nearly double phishing (17%), while only 36% of organizations monitor AI agents, service accounts and API keys. 68% of respondents reported identity-based events, averaging eight each, and 91% use AI tools but only 56% have formal governance over their privileges.

GBHackersSep 9, 12:54 UTC · 9d agoResearch 2 sources

Mapping out your unknown: A threat hunter’s guide to GitHub

Datadog Security Labs publishes a threat-hunting guide with audit-log queries to detect GitHub token theft, device code phishing, and source code exfiltration.

Datadog's threat-hunting guide covers GitHub audit log queries for detecting compromised accounts, stolen personal access tokens, and malicious OAuth app authorizations. Attackers typically obtain credentials through phishing, credential stuffing, leaked secrets, or device code phishing, then map private repositories, exfiltrate source code, and pivot into connected cloud and CI/CD environments. The guide maps detections to MITRE techniques like T1078 and T1528 and documents GitHub logging quirks affecting attribution, token metadata, and visibility fields.

Datadog Security LabsSep 16, 00:00 UTC · 2d agoResearch in the wild1