6 posts
Mandiant and Google Threat Intelligence Group identified an active extortion campaign by UNC6240 (ShinyHunters) exploiting CVE-2026-35273, a critical zero-day RCE vulnerability in Oracle PeopleSoft. The threat actors targeted the higher education sector, deploying customized MeshCentral agents for C2 and utilizing custom scripts for lateral movement, defacement, and data exfiltration.
The CrowdStrike 2026 Financial Services Threat Landscape Report highlights a 43% global increase in hands-on-keyboard intrusions against the financial sector. The threat landscape is dominated by eCrime ransomware operations, DPRK-nexus cryptocurrency theft via supply chain compromises, and China-nexus intelligence collection leveraging Operational Relay Box (ORB) networks and DLL search-order hijacking.
The threat group ShinyHunters compromised Instructure's Canvas learning management system, likely via voice phishing (vishing) targeting their interconnected Salesforce environment. The breach resulted in the theft of 3.65 TB of sensitive data affecting 275 million users, which the actors are now leveraging in an active extortion campaign and which poses a severe downstream phishing risk.
CORDIAL SPIDER and SNARKY SPIDER are executing rapid, SaaS-centric data theft and extortion campaigns by leveraging vishing and AiTM phishing pages. By capturing session tokens and authentication data, these actors bypass traditional endpoint defenses and pivot directly into SSO-integrated SaaS environments via the organization's Identity Provider (IdP).
The threat actor ShinyHunters is leveraging a modified version of the AuraInspector tool to exploit misconfigured Salesforce Experience sites. By targeting overly permissive guest user profiles, attackers can interact with backend Aura endpoints to enumerate and exfiltrate sensitive corporate data without requiring authentication.
A joint research project by SentinelLABS and Censys discovered a massive, unmanaged network of over 175,000 publicly exposed Ollama instances. Many of these self-hosted AI models possess tool-calling and vision capabilities, creating significant security risks such as resource hijacking, prompt injection, and identity laundering through residential proxy abuse.
