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Get Started Free →An adversary with physical access to a mobile device may seek to bypass the device’s lockscreen.
.claude/skills/cyberstrikeus-t1461-lockscreen-bypass/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 16% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 13% | 0% |
| case-04 | ✓→✓ | = Same ✓ | -6% | 0% |
| case-05 | ✓→✓ | = Same ✓ | 40% | 0% |
| case-06 | ✓→✓ | = Same ✓ | 77% | 0% |
An adversary with physical access to a mobile device may seek to bypass the device’s lockscreen. Several methods exist to accomplish this, including:
Platforms: Android, iOS
Determine if the target mobile environment is susceptible to Lockscreen Bypass by examining the target platforms (Android, iOS).
Review whether mitigations for T1461 are in place. If defenses are absent or misconfigured, this technique may be exploitable.
Enterprises can provision policies to mobile devices that require a minimum complexity (length, character requirements, etc.) for the device passcode, and cause the device to wipe all data if an incorrect passcode is entered too many times. Both policies would mitigate brute-force, guessing, or shoulder surfing of the device passcode. Enterprises can also provision policies to disable biometric authentication, however, biometric authentication can help make using a longer, more complex passcode more practical because it does not need to be entered as frequently.
OS security updates typically contain exploit patches when disclosed.
| Finding | Severity | Impact | | -------------------------------------- | -------- | -------------- | | Lockscreen Bypass technique applicable | High | Initial Access |
| CWE ID | Title | | ------ | ------------------------- | | CWE-20 | Improper Input Validation |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 35,023 | 42,281 | +21% | 1 | 1 | 0% | 4,617 | 5,377 | +16% | 0 | 0 | — |
case-02 | fail→fail | 25,725 | 35,720 | +39% | 1 | 1 | 0% | 3,552 | 6,003 | +69% | 0 | 0 | — |
case-03 | fail→fail | 21,318 | 26,154 | +23% | 1 | 1 | 0% | 3,164 | 3,966 | +25% | 0 | 0 | — |
case-04 | pass→pass | 39,073 | 26,288 | -33% | 1 | 1 | 0% | 4,659 | 4,372 | -6% | 0 | 0 | — |
case-05 | pass→pass | 22,502 | 18,891 | -16% | 1 | 1 | 0% | 2,690 | 3,755 | +40% | 0 | 0 | — |
case-06 | pass→pass | 26,841 | 40,140 | +50% | 1 | 1 | 0% | 3,422 | 6,041 | +77% | 0 | 0 | — |
case-07 | pass→pass | 17,558 | 11,277 | -36% | 1 | 1 | 0% | 3,058 | 1,664 | -46% | 0 | 0 | — |
case-08 | pass→pass | 36,865 | 10,376 | -72% | 1 | 1 | 0% | 7,111 | 1,259 | -82% | 0 | 0 | — |
case-09 | pass→pass | 27,656 | 22,562 | -18% | 1 | 1 | 0% | 3,114 | 3,370 | +8% | 0 | 0 | — |
case-10 | fail→pass | 27,644 | 16,475 | -40% | 1 | 1 | 0% | 2,918 | 3,299 | +13% | 0 | 0 | — |
case-11 | pass→pass | 27,480 | 14,002 | -49% | 1 | 1 | 0% | 3,041 | 2,534 | -17% | 0 | 0 | — |
case-12 | pass→pass | 13,344 | 4,995 | -63% | 1 | 1 | 0% | 2,046 | 1,450 | -29% | 0 | 0 | — |
case-13 | pass→pass | 34,017 | 21,970 | -35% | 1 | 1 | 0% | 3,568 | 3,997 | +12% | 0 | 0 | — |
case-14 | pass→pass | 31,623 | 21,414 | -32% | 1 | 1 | 0% | 3,433 | 3,494 | +2% | 0 | 0 | — |
case-15 | pass→pass | 26,987 | 8,936 | -67% | 1 | 1 | 0% | 3,378 | 1,298 | -62% | 0 | 0 | — |
case-16 | pass→pass | 23,249 | 16,166 | -30% | 1 | 1 | 0% | 2,794 | 3,278 | +17% | 0 | 0 | — |
case-17 | pass→pass | 24,543 | 18,620 | -24% | 1 | 1 | 0% | 2,474 | 3,276 | +32% | 0 | 0 | — |
case-18 | pass→pass | 19,846 | 21,567 | +9% | 1 | 1 | 0% | 2,214 | 2,960 | +34% | 0 | 0 | — |
case-19 | pass→pass | 36,391 | 38,971 | +7% | 1 | 1 | 0% | 1,116 | 1,099 | -2% | 0 | 0 | — |
case-20 | pass→pass | 38,245 | 29,760 | -22% | 1 | 1 | 0% | 2,146 | 2,883 | +34% | 0 | 0 | — |
case-21 | fail→fail | 14,036 | 10,393 | -26% | 1 | 1 | 0% | 1,491 | 1,643 | +10% | 0 | 0 | — |
case-22 | fail→fail | 19,172 | 15,300 | -20% | 1 | 1 | 0% | 1,711 | 2,427 | +42% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +9 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.