[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f25GLEqxdWr24tGFpDeiduWeDwpluQIMa3AC2wFVoRbc":3},{"lesson":4},{"id":5,"slug":6,"article_id":7,"title":8,"body":9,"prevention":10,"framework_refs":11,"status":21,"created_at":22,"published_at":23,"article":24,"tags":28,"podcasts":47},"66051d37-f0db-4e09-bf7d-fe6242837fa6","bengalseo-poisons-bing-results-to-spread-malware-and-tech-support-scams","7e6f5b65-b256-453c-a4bf-0e5dac57f589","BengalSEO Poisons Bing Results to Spread Malware and Tech Support Scams","The BengalSEO campaign exploits users' inherent trust in search engine results by manipulating Bing rankings through Black Hat SEO techniques, funneling victims to malicious pages delivering MayaBot malware or fraudulent tech support scams. Operating since at least 2015, this long-running campaign highlights how attackers leverage legitimate web infrastructure and search algorithms as an attack vector rather than targeting systems directly. The primary failure is a lack of end-user awareness about the risks of search result poisoning combined with insufficient organizational monitoring for malicious web redirects. This matters because employees acting on poisoned search results can introduce malware into corporate networks or expose sensitive credentials to scammers, all without triggering traditional perimeter defenses.","**Immediate actions:**\n- Train all users to scrutinize search results carefully, avoid clicking sponsored or unfamiliar links, and verify URLs before interacting with any page.\n- Deploy DNS filtering and web proxy solutions to block known malicious domains associated with SEO poisoning campaigns.\n- Alert staff specifically about tech support scam tactics, including unsolicited pop-ups, phone numbers, and requests for remote access.\n\n**Long-term improvements:**\n- Implement endpoint detection and response (EDR) tools capable of identifying MayaBot-style custom malware behaviors on user devices.\n- Establish a formal security awareness training program with periodic phishing and SEO poisoning simulations to reinforce safe browsing habits.\n- Maintain and enforce an approved software and browser extension allowlist to reduce the attack surface from drive-by downloads.\n\n**Detection measures:**\n- Monitor DNS query logs and web proxy traffic for anomalous redirect chains or high volumes of requests to newly registered domains.\n- Configure SIEM alerting rules to flag outbound connections to domains associated with known SEO poisoning infrastructure.\n- Conduct regular threat intelligence reviews to identify emerging campaigns like BengalSEO and update blocklists proactively.",[12,13,14,15,16,17,18,19,20],"CIS Control 9 – Email and Web Browser Protections","CIS Control 14 – Security Awareness and Skills Training","CIS Control 13 – Network Monitoring and Defense","NIST SP 800-53 AT-2 – Literacy Training and Awareness","NIST SP 800-53 SI-3 – Malicious Code Protection","NIST SP 800-53 SC-7 – Boundary Protection","NIST CSF DE.CM-1 – Network Monitoring","NIST CSF PR.AT-1 – User Awareness Training","GDPR Article 32 – Security of Processing (organizational measures)","published","2026-09-08T10:22:18.510803+00:00","2026-09-08T10:22:18.447+00:00",{"id":7,"url":25,"slug":26,"title":27},"https:\u002F\u002Fthehackernews.com\u002F2026\u002F09\u002Fbengalseo-poisons-bing-search-results.html","bengalseo-poisons-bing-search-results-to-deliver-mayabot-and-tech-support-scams-640afb","BengalSEO Poisons Bing Search Results to Deliver MayaBot and Tech Support Scams",[29,35,41],{"id":30,"name":31,"slug":32,"description":33,"color":34},"05757c8d-6b93-4194-b35d-7359e7d33b0e","Vulnerability Management","vulnerability-management","Missing scans, no risk prioritization","#fb923c",{"id":36,"name":37,"slug":38,"description":39,"color":40},"1732a005-556e-411c-a9db-5edec3058571","Logging & Monitoring","logging-monitoring","Missing logs, no alerting, blind spots","#a855f7",{"id":42,"name":43,"slug":44,"description":45,"color":46},"7261eb8f-acd4-4d93-a489-7fdd652ec0ea","Security Awareness","security-awareness","Phishing, social engineering, human error","#22c55e",[]]