{"slug":"mobsf","name":"MobSF","domain":"mobsf.org","verdict":"As of 2026-09-08, Claude, Gemini collectively rank MobSF first for mobile sast tools for ios and android codebases. Source: https://modelsagree.com/product/mobsf (modelsagree.com, CC BY 4.0).","best_rank":1,"categories":1,"entries":[{"slug":"best-mobile-sast-tools-for-ios-and-android-codebases","title":"Best mobile SAST tools for iOS and Android codebases","rank":1,"of":7,"score":8,"appearances":2,"modelRanks":{"Claude":1,"Gemini":3},"reason":"The de facto standard for mobile app analysis — open-source, covers both iOS and Android, combines static analysis (source and compiled IPA/APK) with a manifest/entitlement/secret/hardcoded-key scan and OWASP MASVS/MASTG-mapped output; huge community, CI-friendly REST API, and it handles the reality that most engagements start from a binary, not source. Best default for the typical mobile pentester or AppSec engineer.","reasons":[{"model":"Claude","reason":"The de facto standard for mobile app analysis — open-source, covers both iOS and Android, combines static analysis (source and compiled IPA/APK) with a manifest/entitlement/secret/hardcoded-key scan and OWASP MASVS/MASTG-mapped output; huge community, CI-friendly REST API, and it handles the reality that most engagements start from a binary, not source. Best default for the typical mobile pentester or AppSec engineer."},{"model":"Gemini","reason":"The undisputed gold-standard open-source tool, offering completely free, self-hosted, and offline static analysis across Android (Java/Kotlin, APK) and iOS (Swift/Objective-C, IPA) codebases, with comprehensive baseline manifest, permission, and MASVS mapping without sharing proprietary code with external vendors."}],"fixes":[{"model":"Claude","fix":"Its static engine is rule/pattern-based with meaningful false positives and shallow dataflow; it is a triage-and-coverage tool, not a deep taint-tracking SAST, and needs a skilled reviewer to separate signal from noise."},{"model":"Gemini","fix":"Relies heavily on regex and pattern matching rather than deep interprocedural data-flow analysis, resulting in higher false-positive rates and an inability to trace complex multi-step data leaks."}],"updated":"2026-09-08","api":"https://modelsagree.com/api/v1/best/best-mobile-sast-tools-for-ios-and-android-codebases.json"}],"page":"https://modelsagree.com/product/mobsf","check":"https://modelsagree.com/check?q=MobSF","updated":"2026-09-09T13:07:58.066Z","attribution":"modelsagree.com, CC BY 4.0"}