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Get Started Free →Adversaries may search public digital certificate data for information about victims that can be used during targeting.
.claude/skills/cyberstrikeus-t1596-003-digital-certificates/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-05 | ✗→✓ | ▲ Improved | 17% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -12% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 3% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 72% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -17% | 0% |
> Sub-technique of: T1596
Adversaries may search public digital certificate data for information about victims that can be used during targeting. Digital certificates are issued by a certificate authority (CA) in order to cryptographically verify the origin of signed content. These certificates, such as those used for encrypted web traffic (HTTPS SSL/TLS communications), contain information about the registered organization such as name and location.
Adversaries may search digital certificate data to gather actionable information. Threat actors can use online resources and lookup tools to harvest information about certificates. Digital certificate data may also be available from artifacts signed by the organization (ex: certificates used from encrypted web traffic are served with content). Information from these sources may reveal opportunities for other forms of reconnaissance (ex: Active Scanning or Phishing for Information), establishing operational resources (ex: Develop Capabilities or Obtain Capabilities), and/or initial access (ex: External Remote Services or Trusted Relationship).
Platforms: PRE
> Note: No Atomic Red Team tests available for this technique. See Atomic Red Team GitHub for updates.
This technique cannot be easily mitigated with preventive controls since it is based on behaviors performed outside of the scope of enterprise defenses and controls. Efforts should focus on minimizing the amount and sensitivity of data available to external parties.
| Finding | Severity | Impact | | ----------------------------------------- | -------- | -------------- | | Digital Certificates technique applicable | High | Reconnaissance |
| 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 | 28,617 | 27,632 | -3% | 1 | 1 | 0% | 3,171 | 4,402 | +39% | 0 | 0 | — |
case-02 | fail→fail | 45,044 | 35,894 | -20% | 1 | 1 | 0% | 4,544 | 6,111 | +34% | 0 | 0 | — |
case-03 | pass→pass | 29,927 | 21,673 | -28% | 1 | 1 | 0% | 3,236 | 3,561 | +10% | 0 | 0 | — |
case-04 | fail→fail | 26,116 | 23,434 | -10% | 1 | 1 | 0% | 3,067 | 3,656 | +19% | 0 | 0 | — |
case-05 | fail→pass | 28,498 | 32,617 | +14% | 1 | 1 | 0% | 3,617 | 4,246 | +17% | 0 | 0 | — |
case-06 | pass→pass | 9,012 | 7,186 | -20% | 1 | 1 | 0% | 780 | 1,107 | +42% | 0 | 0 | — |
case-07 | pass→pass | 10,848 | 11,322 | +4% | 1 | 1 | 0% | 1,842 | 1,811 | -2% | 0 | 0 | — |
case-08 | fail→pass | 19,634 | 13,333 | -32% | 1 | 1 | 0% | 2,435 | 2,146 | -12% | 0 | 0 | — |
case-13 | fail→pass | 14,100 | 5,605 | -60% | 1 | 1 | 0% | 1,558 | 1,605 | +3% | 0 | 0 | — |
case-09 | fail→pass | 16,070 | 16,941 | +5% | 1 | 1 | 0% | 1,700 | 2,931 | +72% | 0 | 0 | — |
case-10 | pass→pass | 19,788 | 12,989 | -34% | 1 | 1 | 0% | 2,411 | 2,750 | +14% | 0 | 0 | — |
case-11 | fail→pass | 17,190 | 10,117 | -41% | 1 | 1 | 0% | 1,815 | 1,507 | -17% | 0 | 0 | — |
case-12 | pass→pass | 16,966 | 4,167 | -75% | 1 | 1 | 0% | 1,971 | 1,361 | -31% | 0 | 0 | — |
case-14 | fail→pass | 12,961 | 11,073 | -15% | 1 | 1 | 0% | 1,663 | 1,650 | -1% | 0 | 0 | — |
case-15 | fail→pass | 13,303 | 9,237 | -31% | 1 | 1 | 0% | 2,097 | 1,368 | -35% | 0 | 0 | — |
case-16 | pass→pass | 20,322 | 18,055 | -11% | 1 | 1 | 0% | 3,189 | 3,553 | +11% | 0 | 0 | — |
case-17 | pass→pass | 20,612 | 9,465 | -54% | 1 | 1 | 0% | 2,252 | 2,274 | +1% | 0 | 0 | — |
case-18 | fail→pass | 14,406 | 3,330 | -77% | 1 | 1 | 0% | 1,468 | 1,136 | -23% | 0 | 0 | — |
case-19 | pass→pass | 3,350 | 8,180 | +144% | 1 | 1 | 0% | 493 | 992 | +101% | 0 | 0 | — |
case-20 | fail→pass | 11,155 | 7,775 | -30% | 1 | 1 | 0% | 1,081 | 1,270 | +17% | 0 | 0 | — |
case-21 | fail→pass | 12,557 | 7,700 | -39% | 1 | 1 | 0% | 1,316 | 1,131 | -14% | 0 | 0 | — |
case-22 | pass→pass | 29,704 | 2,527 | -91% | 1 | 1 | 0% | 4,796 | 1,022 | -79% | 0 | 0 | — |
case-23 | fail→pass | 13,205 | 7,261 | -45% | 1 | 1 | 0% | 1,344 | 1,088 | -19% | 0 | 0 | — |
case-24 | pass→pass | 9,846 | 100,493 | +921% | 1 | 1 | 0% | 803 | 1,360 | +69% | 0 | 0 | — |
case-25 | fail→pass | 11,288 | 10,946 | -3% | 1 | 1 | 0% | 1,966 | 1,450 | -26% | 0 | 0 | — |
case-26 | pass→pass | 20,259 | 12,694 | -37% | 1 | 1 | 0% | 2,045 | 1,880 | -8% | 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. 26 cases were attempted. The headline lift of +46 percentage points is the difference between those two pass rates over the 26 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.