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Get Started Free →Adversaries may attempt to get a listing of services running on remote hosts, including those that may be vulnerable to remote software exploitation.
.claude/skills/cyberstrikeus-t1423-network-service-scanning/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 61% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 30% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -43% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 75% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -41% | 0% |
Adversaries may attempt to get a listing of services running on remote hosts, including those that may be vulnerable to remote software exploitation. Methods to acquire this information include port scans and vulnerability scans from the mobile device. This technique may take advantage of the mobile device's access to an internal enterprise network either through local connectivity or through a Virtual Private Network (VPN).
Platforms: Android, iOS
Determine if the target mobile environment is susceptible to Network Service Scanning by examining the target platforms (Android, iOS).
Review whether mitigations for T1423 are in place. If defenses are absent or misconfigured, this technique may be exploitable.
No specific mitigations documented for this technique.
| Finding | Severity | Impact | | --------------------------------------------- | -------- | --------- | | Network Service Scanning 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→pass | 34,539 | 38,631 | +12% | 1 | 1 | 0% | 3,612 | 5,805 | +61% | 0 | 0 | — |
case-02 | fail→fail | 25,785 | 33,610 | +30% | 1 | 1 | 0% | 3,163 | 4,206 | +33% | 0 | 0 | — |
case-03 | fail→pass | 29,248 | 77,253 | +164% | 1 | 1 | 0% | 3,167 | 4,112 | +30% | 0 | 0 | — |
case-04 | pass→pass | 26,194 | 25,025 | -4% | 1 | 1 | 0% | 3,371 | 3,590 | +6% | 0 | 0 | — |
case-05 | pass→pass | 27,156 | 17,239 | -37% | 1 | 1 | 0% | 2,889 | 3,130 | +8% | 0 | 0 | — |
case-06 | pass→pass | 50,657 | 24,554 | -52% | 1 | 1 | 0% | 4,121 | 3,403 | -17% | 0 | 0 | — |
case-07 | fail→pass | 20,560 | 11,848 | -42% | 1 | 1 | 0% | 2,570 | 1,474 | -43% | 0 | 0 | — |
case-08 | pass→pass | 27,070 | 10,662 | -61% | 1 | 1 | 0% | 3,483 | 1,151 | -67% | 0 | 0 | — |
case-09 | pass→pass | 20,014 | 33,826 | +69% | 1 | 1 | 0% | 2,566 | 930 | -64% | 0 | 0 | — |
case-10 | fail→pass | 6,616 | 14,668 | +122% | 1 | 1 | 0% | 1,045 | 1,832 | +75% | 0 | 0 | — |
case-11 | fail→pass | 23,018 | 4,433 | -81% | 1 | 1 | 0% | 1,842 | 1,088 | -41% | 0 | 0 | — |
case-12 | pass→pass | 9,190 | 9,810 | +7% | 1 | 1 | 0% | 1,299 | 1,133 | -13% | 0 | 0 | — |
case-13 | fail→pass | 29,801 | 27,230 | -9% | 1 | 1 | 0% | 3,661 | 3,402 | -7% | 0 | 0 | — |
case-14 | fail→pass | 26,506 | 28,333 | +7% | 1 | 1 | 0% | 2,857 | 3,661 | +28% | 0 | 0 | — |
case-15 | fail→pass | 22,426 | 7,638 | -66% | 1 | 1 | 0% | 2,851 | 709 | -75% | 0 | 0 | — |
case-16 | pass→pass | 20,072 | 7,236 | -64% | 1 | 1 | 0% | 1,897 | 630 | -67% | 0 | 0 | — |
case-17 | fail→pass | 22,175 | 8,317 | -62% | 1 | 1 | 0% | 2,378 | 762 | -68% | 0 | 0 | — |
case-18 | pass→pass | 15,655 | 1,872 | -88% | 1 | 1 | 0% | 1,458 | 545 | -63% | 0 | 0 | — |
case-19 | fail→pass | 25,663 | 24,758 | -4% | 1 | 1 | 0% | 2,785 | 2,955 | +6% | 0 | 0 | — |
case-20 | pass→pass | 23,647 | 9,878 | -58% | 1 | 1 | 0% | 2,519 | 724 | -71% | 0 | 0 | — |
case-21 | pass→pass | 25,876 | 24,411 | -6% | 1 | 1 | 0% | 3,134 | 2,985 | -5% | 0 | 0 | — |
case-22 | pass→pass | 14,998 | 10,388 | -31% | 1 | 1 | 0% | 1,315 | 1,050 | -20% | 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 +45 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.