Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Adversaries may modify visual content available internally or externally to an enterprise network, thus affecting the integrity of the original content.
.claude/skills/cyberstrikeus-t1491-defacement/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -36% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -19% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -14% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -47% | 0% |
Adversaries may modify visual content available internally or externally to an enterprise network, thus affecting the integrity of the original content. Reasons for Defacement include delivering messaging, intimidation, or claiming (possibly false) credit for an intrusion. Disturbing or offensive images may be used as a part of Defacement in order to cause user discomfort, or to pressure compliance with accompanying messages.
Platforms: Windows, IaaS, Linux, macOS, ESXi
> Note: No Atomic Red Team tests available for this technique. See Atomic Red Team GitHub for updates.
Consider implementing IT disaster recovery plans that contain procedures for taking regular data backups that can be used to restore organizational data. Ensure backups are stored off system and is protected from common methods adversaries may use to gain access and destroy the backups to prevent recovery.
| Finding | Severity | Impact | | ------------------------------- | -------- | ------ | | Defacement technique applicable | Low | Impact |
| CWE ID | Title | | ------- | --------------------------------- | | CWE-400 | Uncontrolled Resource Consumption |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 39,309 | 27,043 | -31% | 1 | 1 | 0% | 4,931 | 4,198 | -15% | 0 | 0 | — |
case-02 | fail→fail | 41,432 | 36,628 | -12% | 1 | 1 | 0% | 5,047 | 5,062 | +0% | 0 | 0 | — |
case-03 | fail→fail | 32,787 | 39,083 | +19% | 1 | 1 | 0% | 4,165 | 5,655 | +36% | 0 | 0 | — |
case-04 | fail→pass | 15,955 | 8,851 | -45% | 1 | 1 | 0% | 1,660 | 1,064 | -36% | 0 | 0 | — |
case-05 | fail→pass | 14,213 | 8,379 | -41% | 1 | 1 | 0% | 1,464 | 1,185 | -19% | 0 | 0 | — |
case-06 | pass→pass | 21,764 | 19,202 | -12% | 1 | 1 | 0% | 2,560 | 2,694 | +5% | 0 | 0 | — |
case-07 | pass→pass | 14,168 | 9,118 | -36% | 1 | 1 | 0% | 2,144 | 1,333 | -38% | 0 | 0 | — |
case-08 | fail→fail | 20,074 | 24,651 | +23% | 1 | 1 | 0% | 2,571 | 3,353 | +30% | 0 | 0 | — |
case-09 | fail→pass | 20,452 | 15,244 | -25% | 1 | 1 | 0% | 2,728 | 2,339 | -14% | 0 | 0 | — |
case-10 | fail→fail | 25,740 | 24,189 | -6% | 1 | 1 | 0% | 2,964 | 4,373 | +48% | 0 | 0 | — |
case-11 | pass→pass | 17,029 | 18,773 | +10% | 1 | 1 | 0% | 1,847 | 2,539 | +37% | 0 | 0 | — |
case-12 | fail→pass | 20,412 | 21,252 | +4% | 1 | 1 | 0% | 2,219 | 2,914 | +31% | 0 | 0 | — |
case-13 | pass→pass | 23,308 | 20,657 | -11% | 1 | 1 | 0% | 3,137 | 4,177 | +33% | 0 | 0 | — |
case-14 | pass→pass | 13,930 | 2,228 | -84% | 1 | 1 | 0% | 1,322 | 919 | -30% | 0 | 0 | — |
case-15 | fail→pass | 11,402 | 8,758 | -23% | 1 | 1 | 0% | 1,682 | 892 | -47% | 0 | 0 | — |
case-16 | fail→pass | 25,026 | 7,259 | -71% | 1 | 1 | 0% | 3,483 | 937 | -73% | 0 | 0 | — |
case-17 | pass→pass | 23,789 | 15,993 | -33% | 1 | 1 | 0% | 2,962 | 3,063 | +3% | 0 | 0 | — |
case-18 | pass→pass | 19,383 | 17,643 | -9% | 1 | 1 | 0% | 2,353 | 2,763 | +17% | 0 | 0 | — |
case-19 | fail→pass | 20,943 | 8,124 | -61% | 1 | 1 | 0% | 2,591 | 1,033 | -60% | 0 | 0 | — |
case-20 | pass→pass | 15,702 | 14,210 | -10% | 1 | 1 | 0% | 1,780 | 1,974 | +11% | 0 | 0 | — |
case-21 | pass→pass | 20,365 | 19,292 | -5% | 1 | 1 | 0% | 2,403 | 2,929 | +22% | 0 | 0 | — |
case-22 | pass→pass | 18,520 | 9,767 | -47% | 1 | 1 | 0% | 1,974 | 2,501 | +27% | 0 | 0 | — |
case-23 | pass→pass | 15,231 | 16,244 | +7% | 1 | 1 | 0% | 1,709 | 2,767 | +62% | 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 +30 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.