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Microsoft Authenticator Flaw Let Permissionless Android Apps Steal Work Account Tokens

Microsoft Authenticator Flaw Let Permissionless Android Apps Steal Work Account Tokens

Microsoft has fixed a flaw in its Authenticator app for Android that let a malicious app with no permissions pose as a trusted Microsoft app, such as Teams, and collect sign-in tokens for a victim’s work account. Microsoft tracks the flaw as CVE-2026-80097 and fixed it in Authenticator for Android version 6.2606.4246,Read More »Microsoft Authenticator Flaw Let Permissionless Android Apps Steal Work Account Tokens

Keystone to Destroy 18,835 Hardware Wallets After Hackers Steal Device Verification Key

Keystone to Destroy 18,835 Hardware Wallets After Hackers Steal Device Verification Key

An attacker who gained access to Keystone’s website obtained the key that its hardware wallets use to prove they are genuine, the company said in a statement on October 26. Someone with that key could build counterfeit devices that pass the online check owners use to verify a Keystone. A buyer whoRead More »Keystone to Destroy 18,835 Hardware Wallets After Hackers Steal Device Verification Key

Lazarus Abuses South Korean Security Software to Deploy Malware Using Post-Quantum Encryption

Lazarus Abuses South Korean Security Software to Deploy Malware Using Post-Quantum Encryption

The North Korea-linked Lazarus Group has been attributed to a cyber espionage campaign dubbed Operation FlashHole targeting at least three organizations in South Korea spanning the construction, software, and wire-communication equipment manufacturing sectors. According to Russian cybersecurity company Kaspersky, the campaign has been active since at least July 2025. It’sRead More »Lazarus Abuses South Korean Security Software to Deploy Malware Using Post-Quantum Encryption

Hiding Capabilities in AI Models

Interesting research: “AI Models Can Provably Hide Arbitrary Capabilities” Abstract: Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilities can be elicited. We show this assumption does not hold under adversarial conditions by constructing backdoor attacks that embed encryptedRead More »Hiding Capabilities in AI Models

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