Entra ID

Microsoft 365 Admin Tool Exposes Pitfalls in Graph, Exchange PowerShell and Intune Management

An open-source developer has released version 2.0 of SwissKnife for MS Graph, a tool that adds a safe preview-and-apply layer on top of Microsoft 365 administration. The project addresses the lack of a native what-if mode in Microsoft Graph and the incomplete coverage of Exchange tasks in the Graph API. It implements a two-step plan-and-apply workflow, supports fallback to Exchange Online PowerShell or the Admin API, and runs community scripts under strict constraints. The author details multiple real-world obstacles including named-location ID drift in Conditional Access policies, masked secrets returned by Intune, and limitations when restoring Transport Rules from snapshots. The tool also provides a worker mode for macOS and Linux users and enforces script signing plus AST-based command whitelisting. Feedback is requested on error messages and tasks that still require manual PowerShell use.

Password Reset Fails to Evict Attackers: What Persists in Compromised Email Accounts

Even after users change passwords and enable two-factor authentication, attackers often retain access through active sessions, application tokens, and forwarding rules. The original password serves only as an entry point, while already-issued session cookies, refresh tokens, and app passwords continue functioning independently. Services like Google, Microsoft, and Yandex provide specific pages to review devices, permissions, and app passwords, yet many users overlook the critical "sign out all devices" option. In corporate environments, Microsoft Entra ID commands can revoke sessions, but access tokens may still remain valid for up to an hour afterward. Attackers frequently replace recovery details and set up mail delegation or hidden forwarding rules to maintain long-term control. The recommended sequence prioritizes session revocation first, followed by password change, MFA review, and recovery data verification to prevent re-entry via forgotten-password flows.

Cybercriminals Deploy Advanced AI for Continuous Automated Reconnaissance and Exploitation at Scale

Advanced AI models now enable cybercriminal groups to maintain uninterrupted reconnaissance across enterprises in every sector, mapping domains, exposed services, and infrastructure changes at a pace no human team could sustain for weeks. The automated process targets two opposite profiles of vulnerable systems: legacy environments left unpatched for years with outdated versions and forgotten permissions, and rapidly deployed applications built through Vibe Coding that reach production without security review. The entire attack chain—reconnaissance, vulnerability identification, validation, and exploitation—is now executed by AI agents operating with minimal human oversight. What previously required a dedicated specialized team focused on one target at a time now runs in parallel against thousands of targets simultaneously, with marginal cost approaching zero for each additional attack. This collapse in operational costs and rise in success rates has restructured the cybercrime economy, funding increasingly sophisticated tools and lowering the barrier for new operators who need only platform access rather than deep technical expertise. The time window between an application reaching production and discovery by attackers has shrunk to hours, while most organizations still treat security as a finite project rather than an ongoing process.