SKILLEMALL.ai

CC exploiting-zerologon-vulnerability-cve-2020-1472

Exploits the Zerologon vulnerability (CVE-2020-1472) in the Netlogon Remote Protocol using Impacket to reset a domain controller's machine account password to empty, then runs DCSync via secretsdump.py to dump domain credentials. Use when red-teaming or validating unpatched Active Directory domain controllers for Zerologon, including restoring the machine account password afterward.

mukul975/Anthropic-Cybersecurity-Skills Agent Skills author: mukul975 Apache-2.0 8 files · 2 scripts body ≈ 1 723 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Exploits the Zerologon vulnerability (CVE-2020-1472) in the Netlogon Remote Protocol using Impacket to reset a domain controller's machine account password to…

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
84/100
safety, quality, tests
Safety 60%
90
Quality 40%
75
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 10

    ✓ No critical or high findings

    Medium and low: 10
    • low Risky intent intent-offensive-security references/standards.md:4
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **T1068** - Exploitation for Privilege Escalation
    • low Risky intent intent-offensive-security references/standards.md:6
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **T1003.006** - OS Credential Dumping: DCSync
    • low Risky intent intent-offensive-security references/standards.md:30
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Ransomware**: Ryuk, Conti operators used Zerologon for domain takeover
    • low Risky intent intent-offensive-security references/workflows.md:53
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      │   └── Service account hashes = lateral movement
    • low Risky intent intent-offensive-security references/workflows.md:61
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      **RED TEAM WARNING**: Always restore the DC machine account password immediately after exploitation. Failing to do so will cause Active Directory to break, potentially causing a production outage.
    • low Risky intent intent-offensive-security SKILL.md:50
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - When conducting red team exercises or penetration testing engagements
    • low Risky intent intent-offensive-security SKILL.md:59
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Written authorization for red team engagement
    • low Risky intent intent-offensive-security SKILL.md:68
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | T1068 | Exploitation for Privilege Escalation | Privilege Escalation |
    • low Risky intent intent-offensive-security SKILL.md:69
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | T1210 | Exploitation of Remote Services | Lateral Movement |
    • low Risky intent intent-offensive-security SKILL.md:70
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | T1003.006 | OS Credential Dumping: DCSync | Credential Access |

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "domain"
    • note frontmatter-key unknown frontmatter key "subdomain"
    • note frontmatter-key unknown frontmatter key "d3fend_techniques"
    • note frontmatter-key unknown frontmatter key "nist_csf"
    • note frontmatter-key unknown frontmatter key "mitre_attack"

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 26 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1723 tokens
    • low 13 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -43 reference files, but SKILL.md never points to them: the model will not open them
    • -32 of 2 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 385: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (8 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.