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Get Started Free →Adversaries may search for information about Wi-Fi networks, such as network names and passwords, on compromised systems.
.claude/skills/cyberstrikeus-t1422-002-wi-fi-discovery/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -91% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -85% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -68% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -75% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -73% | 0% |
> Sub-technique of: T1422
Adversaries may search for information about Wi-Fi networks, such as network names and passwords, on compromised systems. Adversaries may use Wi-Fi information as part of Discovery or Credential Access activity to support both ongoing and future campaigns.
Platforms: Android, iOS
Determine if the target mobile environment is susceptible to Wi-Fi Discovery by examining the target platforms (Android, iOS).
Review whether mitigations for T1422.002 are in place. If defenses are absent or misconfigured, this technique may be exploitable.
Android 10 introduced changes that prevent normal applications from accessing sensitive device identifiers.
| Finding | Severity | Impact | | ------------------------------------ | -------- | --------- | | Wi-Fi Discovery technique applicable | High | 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-01 | fail→fail | 31,020 | 37,954 | +22% | 1 | 1 | 0% | 4,128 | 5,596 | +36% | 0 | 0 | — |
case-02 | fail→fail | 38,002 | 36,352 | -4% | 1 | 1 | 0% | 5,075 | 5,722 | +13% | 0 | 0 | — |
case-03 | fail→fail | 38,268 | 34,312 | -10% | 1 | 1 | 0% | 5,497 | 5,441 | -1% | 0 | 0 | — |
case-04 | fail→pass | 54,401 | 19,456 | -64% | 1 | 1 | 0% | 7,472 | 679 | -91% | 0 | 0 | — |
case-05 | fail→pass | 29,999 | 7,924 | -74% | 1 | 1 | 0% | 4,970 | 769 | -85% | 0 | 0 | — |
case-06 | fail→pass | 22,432 | 8,865 | -60% | 1 | 1 | 0% | 3,223 | 1,046 | -68% | 0 | 0 | — |
case-07 | pass→pass | 25,798 | 50,270 | +95% | 1 | 1 | 0% | 1,811 | 1,186 | -35% | 0 | 0 | — |
case-08 | pass→pass | 31,469 | 19,518 | -38% | 1 | 1 | 0% | 4,087 | 968 | -76% | 0 | 0 | — |
case-09 | fail→pass | 28,967 | 2,373 | -92% | 1 | 1 | 0% | 3,450 | 862 | -75% | 0 | 0 | — |
case-19 | pass→pass | 10,715 | 3,746 | -65% | 1 | 1 | 0% | 811 | 684 | -16% | 0 | 0 | — |
case-10 | fail→pass | 18,551 | 8,279 | -55% | 1 | 1 | 0% | 2,981 | 810 | -73% | 0 | 0 | — |
case-11 | pass→pass | 32,856 | 7,783 | -76% | 1 | 1 | 0% | 2,177 | 859 | -61% | 0 | 0 | — |
case-12 | fail→pass | 11,543 | 3,656 | -68% | 1 | 1 | 0% | 1,888 | 919 | -51% | 0 | 0 | — |
case-13 | fail→pass | 22,129 | 6,814 | -69% | 1 | 1 | 0% | 2,784 | 690 | -75% | 0 | 0 | — |
case-14 | fail→pass | 15,438 | 6,997 | -55% | 1 | 1 | 0% | 1,457 | 1,427 | -2% | 0 | 0 | — |
case-15 | pass→pass | 18,789 | 13,401 | -29% | 1 | 1 | 0% | 1,826 | 2,173 | +19% | 0 | 0 | — |
case-16 | pass→pass | 18,075 | 9,879 | -45% | 1 | 1 | 0% | 2,768 | 1,110 | -60% | 0 | 0 | — |
case-17 | fail→pass | 13,464 | 8,764 | -35% | 1 | 1 | 0% | 1,092 | 1,109 | +2% | 0 | 0 | — |
case-18 | pass→pass | 22,240 | 10,863 | -51% | 1 | 1 | 0% | 2,455 | 1,236 | -50% | 0 | 0 | — |
case-20 | fail→pass | 16,741 | 20,890 | +25% | 1 | 1 | 0% | 1,881 | 723 | -62% | 0 | 0 | — |
case-21 | pass→pass | 23,348 | 18,133 | -22% | 1 | 1 | 0% | 2,591 | 2,641 | +2% | 0 | 0 | — |
case-22 | pass→pass | 15,467 | 18,886 | +22% | 1 | 1 | 0% | 1,642 | 2,392 | +46% | 0 | 0 | — |
case-23 | pass→pass | 31,042 | 33,861 | +9% | 1 | 1 | 0% | 3,615 | 4,598 | +27% | 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. 23 cases were attempted. The headline lift of +43 percentage points is the difference between those two pass rates over the 23 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.