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Get Started Free →Adversaries may exploit software vulnerabilities in order to elevate privileges.
.claude/skills/cyberstrikeus-t1404-exploitation-for-privilege-escalation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 4% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 26% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -84% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -52% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -29% | 0% |
Adversaries may exploit software vulnerabilities in order to elevate privileges. Exploitation of a software vulnerability occurs when an adversary takes advantage of a programming error in an application, service, within the operating system software, or kernel itself to execute adversary-controlled code. Security constructions, such as permission levels, will often hinder access to information and use of certain techniques. Adversaries will likely need to perform privilege escalation to include use of software exploitation to circumvent those restrictions.
When initially gaining access to a device, an adversary may be operating within a lower privileged process which will prevent them from accessing certain resources on the system. Vulnerabilities may exist, usually in operating system components and applications running at higher permissions, that can be exploited to gain higher levels of access on the system. This could enable someone to move from unprivileged or user- level permission to root permissions depending on the component that is vulnerable.
Platforms: Android, iOS
Determine if the target mobile environment is susceptible to Exploitation for Privilege Escalation by examining the target platforms (Android, iOS).
Review whether mitigations for T1404 are in place. If defenses are absent or misconfigured, this technique may be exploitable.
Security updates often contain patches for vulnerabilities.
Device attestation can often detect jailbroken or rooted devices.
Mobile security products can potentially detect jailbroken or rooted devices.
| Finding | Severity | Impact | | ---------------------------------------------------------- | -------- | -------------------- | | Exploitation for Privilege Escalation technique applicable | High | Privilege Escalation |
| CWE ID | Title | | ------- | ----------------------------- | | CWE-269 | Improper Privilege Management |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 29,697 | 32,291 | +9% | 1 | 1 | 0% | 4,789 | 4,998 | +4% | 0 | 0 | — |
case-02 | fail→fail | 25,286 | 32,399 | +28% | 1 | 1 | 0% | 3,831 | 5,829 | +52% | 0 | 0 | — |
case-03 | fail→pass | 25,901 | 24,795 | -4% | 1 | 1 | 0% | 4,027 | 5,077 | +26% | 0 | 0 | — |
case-04 | pass→pass | 22,872 | 17,776 | -22% | 1 | 1 | 0% | 3,131 | 2,689 | -14% | 0 | 0 | — |
case-05 | pass→pass | 18,139 | 18,421 | +2% | 1 | 1 | 0% | 2,289 | 2,854 | +25% | 0 | 0 | — |
case-06 | pass→pass | 24,564 | 26,125 | +6% | 1 | 1 | 0% | 3,178 | 4,172 | +31% | 0 | 0 | — |
case-11 | fail→pass | 34,314 | 4,100 | -88% | 1 | 1 | 0% | 5,919 | 932 | -84% | 0 | 0 | — |
case-07 | pass→pass | 13,855 | 3,449 | -75% | 1 | 1 | 0% | 1,355 | 1,179 | -13% | 0 | 0 | — |
case-08 | pass→pass | 4,254 | 9,371 | +120% | 1 | 1 | 0% | 772 | 932 | +21% | 0 | 0 | — |
case-09 | fail→pass | 11,868 | 8,813 | -26% | 1 | 1 | 0% | 2,005 | 953 | -52% | 0 | 0 | — |
case-10 | fail→pass | 13,071 | 3,744 | -71% | 1 | 1 | 0% | 1,446 | 1,032 | -29% | 0 | 0 | — |
case-12 | pass→pass | 38,598 | 8,386 | -78% | 1 | 1 | 0% | 6,115 | 1,050 | -83% | 0 | 0 | — |
case-13 | fail→pass | 19,574 | 19,997 | +2% | 1 | 1 | 0% | 2,313 | 2,479 | +7% | 0 | 0 | — |
case-14 | pass→pass | 18,496 | 9,960 | -46% | 1 | 1 | 0% | 1,735 | 915 | -47% | 0 | 0 | — |
case-15 | fail→pass | 17,101 | 10,050 | -41% | 1 | 1 | 0% | 2,056 | 1,318 | -36% | 0 | 0 | — |
case-16 | fail→pass | 16,828 | 7,830 | -53% | 1 | 1 | 0% | 1,927 | 1,122 | -42% | 0 | 0 | — |
case-17 | fail→pass | 15,939 | 7,971 | -50% | 1 | 1 | 0% | 1,513 | 857 | -43% | 0 | 0 | — |
case-18 | pass→pass | 19,012 | 14,590 | -23% | 1 | 1 | 0% | 2,035 | 1,897 | -7% | 0 | 0 | — |
case-19 | fail→pass | 41,015 | 9,187 | -78% | 1 | 1 | 0% | 5,367 | 1,326 | -75% | 0 | 0 | — |
case-20 | pass→pass | 9,302 | 9,121 | -2% | 1 | 1 | 0% | 1,433 | 1,302 | -9% | 0 | 0 | — |
case-21 | fail→pass | 15,266 | 9,812 | -36% | 1 | 1 | 0% | 2,036 | 1,240 | -39% | 0 | 0 | — |
case-22 | fail→pass | 18,720 | 9,776 | -48% | 1 | 1 | 0% | 2,435 | 1,094 | -55% | 0 | 0 | — |
case-23 | pass→pass | 18,636 | 19,129 | +3% | 1 | 1 | 0% | 2,226 | 3,109 | +40% | 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 +52 percentage points is the difference between those two pass rates over the 23 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
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.