analyzing-malware-sandbox-evasion-techniques SKILL.md skillA
analyzing-malware-sandbox-evasion-techniques from andycungkrinx91/konoha is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add andycungkrinx91/konoha/analyzing-malware-sandbox-evasion-techniques@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- andycungkrinx91/konoha
- Path
src/templates/skills/akatsuki-skill/references/anthropic-cybersecurity-skills-assets/skills/analyzing-malware-sandbox-evasion-techniques/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Oct 25, 2026
- Size
- 2,645 bytes
- Repository stars
- 15
- License
- MIT
Detect sandbox evasion techniques in malware samples by analyzing timing.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Analyzing Malware Sandbox Evasion Techniques ## Overview Sandbox evasion (MITRE ATT&CK T1497) allows malware to detect analysis environments and alter behavior to avoid detection. This skill analyzes behavioral reports from Cuckoo Sandbox and AnyRun for evasion indicators including timing-based checks (GetTickCount, QueryPerformanceCounter, sleep inflation), VM artifact detection (registry keys, MAC address prefixes, process names like vmtoolsd.exe), user interaction checks (mouse movement, keyboard input), and environment fingerprinting (disk size, CPU count, RAM). Detection rules flag samples exhibiting these behaviors for deeper manual analysis. ## When to Use - When investigating security incidents that require analyzing malware sandbox evasion techniques - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Cuckoo Sandbox 2.0+ or AnyRun account for behavioral analysis reports - Python 3.8+ with json library for report parsing - Behavioral report exports in JSON format ## Steps …
Read the whole file at its exact version.
How to install
mdr add andycungkrinx91/konoha/analyzing-malware-sandbox-evasion-techniques@sha256:d606558fa08cd8a4The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_4y7caadtuo2247ve)
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Versions
The registry has recorded 1 version of this file, committed on Oct 25, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2645 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
andycungkrinx91/konoha · 15 stars · license MIT · pushed 2026-11-01 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_4y7caadtuo2247ve GET https://markdownregistry.com/api/v1/resolve?ref=andycungkrinx91/konoha/analyzing-malware-sandbox-evasion-techniques GET https://markdownregistry.com/api/v1/blob/d606558fa08cd8a4dbae71f5bd8d3c6c31c3437a22e73153f3c1d46a26b1fd71
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.