analyzing-network-covert-channels-in-malware SKILL.md skillA
analyzing-network-covert-channels-in-malware 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-network-covert-channels-in-malware@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-network-covert-channels-in-malware/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Oct 25, 2026
- Size
- 7,783 bytes
- Repository stars
- 15
- License
- MIT
Detect and analyze covert communication channels used by malware including.
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 Network Covert Channels in Malware ## Overview Malware uses covert channels to disguise C2 communication and data exfiltration within legitimate-looking network traffic. DNS tunneling encodes data in DNS queries and responses (used by tools like iodine, dnscat2, and malware families like FrameworkPOS). ICMP tunneling hides data in echo request/reply payloads (icmpsh, ptunnel). HTTP covert channels embed C2 data in headers, cookies, or steganographic images. Protocol abuse exploits allowed protocols to bypass firewalls. DNS tunneling detection achieves 99%+ recall with modern ML-based approaches, though low-throughput exfiltration remains challenging. Palo Alto Unit42 tracked three major DNS tunneling campaigns (TrkCdn, SecShow, Savvy Seahorse) through 2024, showing the technique's continued prevalence. ## When to Use - When investigating security incidents that require analyzing network covert channels in malware - 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 …
Read the whole file at its exact version.
How to install
mdr add andycungkrinx91/konoha/analyzing-network-covert-channels-in-malware@sha256:72063ca4a9c080ccThe 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_xm3hrhdvhh7i2l5n)
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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 (7783 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_xm3hrhdvhh7i2l5n GET https://markdownregistry.com/api/v1/resolve?ref=andycungkrinx91/konoha/analyzing-network-covert-channels-in-malware GET https://markdownregistry.com/api/v1/blob/72063ca4a9c080cc12c85afa0d804c1d081752d9f6888adc6f15bea2f32dfb8c
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.