[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"framework:nist-800-53\u002Fsi-3":3},{"item":4,"lessons":18,"controls":68,"related":99},{"family":5,"item":6,"code":7,"title":8,"citations":9,"publisher":10,"summary_md":11,"official_text":12,"official_attribution":13,"official_url":14,"link_label":15,"note":16,"updated_at":17},"nist-800-53","si-3","SI-3","Malicious Code Protection",831,"US National Institute of Standards and Technology (NIST)","**What it asks for.** The organisation must run malicious code protection at system entry and exit points, using signature-based and\u002For non-signature-based methods, keep it updated automatically, scan periodically and in real time, and define what happens when malware is detected.\n\n**In practice.** A typical modern implementation is endpoint detection and response on all workstations and servers, plus email and web gateway filtering, centrally managed with tamper protection enabled. Auditors expect coverage reports matched against the asset inventory, update status, configured response actions and examples of alerts being triaged. CIS Control 10 describes the same expectations.\n\n**Common gaps.** Gaps usually sit in coverage: servers, Linux hosts, build systems or legacy machines without an agent, or agents running in audit-only mode. Broad exclusions added to fix performance problems can quietly undermine protection.","a. Implement [Selection: signature-based; non-signature-based] malicious code protection mechanisms at system entry and exit points to detect and eradicate malicious code;\n  b. Automatically update malicious code protection mechanisms as new releases are available in accordance with organizational configuration management policy and procedures;\n  c. Configure malicious code protection mechanisms to:\n    1. Perform periodic scans of the system [Assignment: organization-defined frequency] and real-time scans of files from external sources at [Selection: endpoint; network entry and exit points] as the files are downloaded, opened, or executed in accordance with organizational policy; and\n    2. [Selection: block malicious code; quarantine malicious code; take {{ insert: param, si-03_odp.05 }} ] ; and send alert to [Assignment: organization-defined personnel or roles] in response to malicious code detection; and\n  d. Address the receipt of false positives during malicious code detection and eradication and the resulting potential impact on the availability of the system.\nDiscussion: System entry and exit points include firewalls, remote access servers, workstations, electronic mail servers, web servers, proxy servers, notebook computers, and mobile devices. Malicious code includes viruses, worms, Trojan horses, and spyware. Malicious code can also be encoded in various formats contained within compressed or hidden files or hidden in files using techniques such as steganography. Malicious code can be inserted into systems in a variety of ways, including by electronic mail, the world-wide web, and portable storage devices. Malicious code insertions occur through the exploitation of system vulnerabilities. A variety of technologies and methods exist to limit or eliminate the effects of malicious code.\n\nMalicious code protection mechanisms include both signature- and nonsignature-based technologies. Nonsignature-based detection mechanisms include artificial intelligence techniques that use heuristics to detect, analyze, and describe the characteristics or behavior of malicious code and to provide controls against such code for which signatures do not yet exist or for which existing signatures may not be effective. Malicious code for which active signatures do not yet exist or may be ineffective includes polymorphic malicious code (i.e., code that changes signatures when it replicates). Nonsignature-based mechanisms also include reputation-based technologies. In addition to the above technologies, pervasive configuration management, comprehensive software integrity controls, and anti-exploitation software may be effective in preventing the execution of unauthorized code. Malicious code may be present in commercial off-the-shelf software as well as custom-built software and could include logic bombs, backdoors, and other types of attacks that could affect organizational mission and business functions.\n\nIn situations where malicious code cannot be detected by detection methods or technologies, organizations rely on other types of controls, including secure coding practices, configuration management and control, trusted procurement processes, and monitoring practices to ensure that software does not perform functions other than the functions intended. Organizations may determine that, in response to the detection of malicious code, different actions may be warranted. For example, organizations can define actions in response to malicious code detection during periodic scans, the detection of malicious downloads, or the detection of maliciousness when attempting to open or execute files.","From NIST SP 800-53 Rev. 5, a work of the US government in the public domain.","https:\u002F\u002Fcsrc.nist.gov\u002Fpubs\u002Fsp\u002F800\u002F53\u002Fr5\u002Fupd1\u002Ffinal","Open SP 800-53 at NIST",null,"2026-10-18T15:18:43.663+00:00",{"total":9,"list":19},[20,24,28,32,36,40,44,48,52,56,60,64],{"slug":21,"title":22,"published_at":23},"malicious-npm-package-imgdecode-delivers-hidden-shellcode-loader","Malicious npm Package 'imgdecode' Delivers Hidden Shellcode Loader","2026-10-17T12:20:17.17+00:00",{"slug":25,"title":26,"published_at":27},"federal-agencies-issue-cybersecurity-guidance-for-frontier-ai-systems","Federal Agencies Issue Cybersecurity Guidance for Frontier AI Systems","2026-10-17T02:20:17.238+00:00",{"slug":29,"title":30,"published_at":31},"fake-ai-brand-impersonation-campaigns-target-enterprise-developers","Fake AI Brand Impersonation Campaigns Target Enterprise Developers","2026-10-16T22:20:50.472+00:00",{"slug":33,"title":34,"published_at":35},"aitm-phishing-campaign-bypasses-mfa-to-steal-google-credentials-from-taiwan-researchers","AitM Phishing Campaign Bypasses MFA to Steal Google Credentials from Taiwan Researchers","2026-10-16T18:21:24.446+00:00",{"slug":37,"title":38,"published_at":39},"zero-click-ad-spyware-bypasses-user-interaction-to-compromise-devices","Zero-Click Ad Spyware Bypasses User Interaction to Compromise Devices","2026-10-16T18:20:36.559+00:00",{"slug":41,"title":42,"published_at":43},"romulus-malware-platform-exploits-human-deception-via-clickfix-lures","ROMULUS Malware Platform Exploits Human Deception via ClickFix Lures","2026-10-16T15:20:34.428+00:00",{"slug":45,"title":46,"published_at":47},"ai-powered-android-defenses-target-voice-cloning-and-messaging-scams","AI-Powered Android Defenses Target Voice Cloning and Messaging Scams","2026-10-15T20:20:20.548+00:00",{"slug":49,"title":50,"published_at":51},"zero-click-candiru-spyware-delivered-via-malicious-ads-hits-al-jazeera","Zero-Click Candiru Spyware Delivered via Malicious Ads Hits Al Jazeera","2026-10-15T18:20:37.304+00:00",{"slug":53,"title":54,"published_at":55},"help-tds-hotejka-exploit-20000-cloudflare-pages-domains-for-tech-support-scams","Help TDS & Hotejka Exploit 20,000+ Cloudflare Pages Domains for Tech Support Scams","2026-10-15T16:20:52.987+00:00",{"slug":57,"title":58,"published_at":59},"fake-ai-tools-used-to-distribute-malware-and-steal-business-credentials","Fake AI Tools Used to Distribute Malware and Steal Business Credentials","2026-10-15T14:21:08.398+00:00",{"slug":61,"title":62,"published_at":63},"small-ai-models-could-enable-self-propagating-ai-worms-by-2026","Small AI Models Could Enable Self-Propagating AI Worms by 2026","2026-10-15T14:20:39.044+00:00",{"slug":65,"title":66,"published_at":67},"android-rat-hirudo-swaps-legitimate-banking-apps-with-trojanized-clones","Android RAT 'Hirudo' Swaps Legitimate Banking Apps with Trojanized Clones","2026-10-15T12:21:08.907+00:00",[69,74,79,84,89,94],{"slug":70,"name":71,"problem":72,"stories":73},"endpoint-detection-response","Endpoint detection and response (EDR and XDR)","Malware and hands-on-keyboard attackers on laptops and servers get spotted and stopped.",582,{"slug":75,"name":76,"problem":77,"stories":78},"email-security","Email security","Phishing, malware and invoice fraud are filtered out before they reach inboxes.",255,{"slug":80,"name":81,"problem":82,"stories":83},"security-awareness-training","Security awareness training and phishing simulation","People recognise and report attacks instead of falling for them.",227,{"slug":85,"name":86,"problem":87,"stories":88},"vulnerability-management","Vulnerability scanning and prioritisation","You know which systems are vulnerable, and which ones to fix first.",106,{"slug":90,"name":91,"problem":92,"stories":93},"patch-management","Automated patch management","Known holes get closed in days, not months.",104,{"slug":95,"name":96,"problem":97,"stories":98},"ai-security","AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",101,[100,106,112,117,122,128,133,138],{"family":101,"item":102,"code":103,"title":104,"together":105},"gdpr","32","Article 32","Security of processing",432,{"family":107,"item":108,"code":109,"title":110,"together":111},"cis","2","Control 2","Inventory and Control of Software Assets",353,{"family":107,"item":113,"code":114,"title":115,"together":116},"13","Control 13","Network Monitoring and Defense",352,{"family":107,"item":118,"code":119,"title":120,"together":121},"14","Control 14","Security Awareness and Skills Training",268,{"family":123,"item":124,"code":125,"title":126,"together":127},"nist-csf","de-cm","DE.CM-1","Continuous Monitoring",258,{"family":129,"item":130,"code":131,"title":131,"together":132},"itil","overview","ITIL",249,{"family":107,"item":134,"code":135,"title":136,"together":137},"7","Control 7","Continuous Vulnerability Management",246,{"family":107,"item":139,"code":140,"title":141,"together":142},"9","Control 9","Email and Web Browser Protections",232]