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Get Started Free →Adversaries may attempt to get a listing of security applications and configurations that are installed on a device.
.claude/skills/cyberstrikeus-t1418-001-security-software-discovery/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -7% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 47% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -20% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -44% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -23% | 0% |
> Sub-technique of: T1418
Adversaries may attempt to get a listing of security applications and configurations that are installed on a device. This may include things such as mobile security products. Adversaries may use the information from Security Software Discovery during automated discovery to shape follow-on behaviors, including whether or not to fully infect the target and/or attempt specific actions.
Platforms: Android, iOS
Determine if the target mobile environment is susceptible to Security Software Discovery by examining the target platforms (Android, iOS).
Review whether mitigations for T1418.001 are in place. If defenses are absent or misconfigured, this technique may be exploitable.
iOS users should be instructed to not download applications from unofficial sources, as applications distributed via the Apple App Store cannot list installed applications on a device.
Android 11 introduced privacy enhancements to package visibility, filtering results that are returned from the package manager. iOS 12 removed the private API that could previously be used to list installed applications on non-app store applications.
| Finding | Severity | Impact | | ------------------------------------------------ | -------- | --------- | | Security Software Discovery technique applicable | Medium | Discovery |
| CWE ID | Title | | ------- | --------------------------------- | | CWE-200 | Exposure of Sensitive Information |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-20 | pass→pass | 21,482 | 24,748 | +15% | 1 | 1 | 0% | 2,340 | 3,202 | +37% | 0 | 0 | — |
case-05 | pass→pass | 31,519 | 27,990 | -11% | 1 | 1 | 0% | 4,111 | 4,675 | +14% | 0 | 0 | — |
case-01 | fail→pass | 23,254 | 64,967 | +179% | 1 | 1 | 0% | 2,861 | 2,669 | -7% | 0 | 0 | — |
case-02 | fail→pass | 35,582 | 40,877 | +15% | 1 | 1 | 0% | 4,176 | 6,135 | +47% | 0 | 0 | — |
case-03 | fail→fail | 44,054 | 39,237 | -11% | 1 | 1 | 0% | 4,851 | 5,394 | +11% | 0 | 0 | — |
case-04 | pass→pass | 30,423 | 35,646 | +17% | 1 | 1 | 0% | 3,632 | 4,196 | +16% | 0 | 0 | — |
case-06 | pass→pass | 17,651 | 18,197 | +3% | 1 | 1 | 0% | 3,140 | 3,598 | +15% | 0 | 0 | — |
case-07 | pass→pass | 23,888 | 18,612 | -22% | 1 | 1 | 0% | 1,802 | 2,457 | +36% | 0 | 0 | — |
case-08 | fail→pass | 20,890 | 13,074 | -37% | 1 | 1 | 0% | 3,368 | 2,704 | -20% | 0 | 0 | — |
case-09 | pass→pass | 24,969 | 20,427 | -18% | 1 | 1 | 0% | 2,542 | 2,603 | +2% | 0 | 0 | — |
case-10 | fail→pass | 23,826 | 10,135 | -57% | 1 | 1 | 0% | 2,571 | 1,452 | -44% | 0 | 0 | — |
case-11 | fail→pass | 15,112 | 12,605 | -17% | 1 | 1 | 0% | 2,062 | 1,592 | -23% | 0 | 0 | — |
case-12 | pass→pass | 11,842 | 9,477 | -20% | 1 | 1 | 0% | 977 | 1,205 | +23% | 0 | 0 | — |
case-13 | pass→pass | 19,113 | 16,619 | -13% | 1 | 1 | 0% | 2,215 | 2,213 | -0% | 0 | 0 | — |
case-14 | fail→pass | 26,364 | 18,026 | -32% | 1 | 1 | 0% | 3,206 | 3,377 | +5% | 0 | 0 | — |
case-15 | pass→pass | 8,016 | 10,395 | +30% | 1 | 1 | 0% | 1,174 | 1,324 | +13% | 0 | 0 | — |
case-16 | pass→pass | 15,377 | 11,152 | -27% | 1 | 1 | 0% | 2,039 | 2,280 | +12% | 0 | 0 | — |
case-17 | pass→pass | 25,910 | 27,685 | +7% | 1 | 1 | 0% | 2,721 | 3,383 | +24% | 0 | 0 | — |
case-18 | pass→pass | 25,518 | 24,324 | -5% | 1 | 1 | 0% | 2,777 | 3,233 | +16% | 0 | 0 | — |
case-19 | pass→pass | 31,744 | 26,576 | -16% | 1 | 1 | 0% | 3,555 | 3,726 | +5% | 0 | 0 | — |
case-21 | pass→pass | 19,764 | 17,902 | -9% | 1 | 1 | 0% | 1,936 | 2,310 | +19% | 0 | 0 | — |
case-22 | fail→fail | 28,064 | 26,471 | -6% | 1 | 1 | 0% | 3,701 | 4,166 | +13% | 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 +27 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.