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Adversaries may add junk data to protocols used for command and control to make detection more difficult.
Passed 19 of 22 test cases with the skill, and 7 of 22 without it.
and 11 more in the full report
12 fixed7 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
A vulnerability management tool asks for the Common Weakness Enumeration ID associated with C2 channels that allow non-endpoint entities to access or manipulate network streams via junk data injection. Which CWE ID applies?
| Checked | Without skill | With skill |
|---|---|---|
| The weakness mapping specifies CWE-300. | Missed | Passed |
The instructions your model reads when the skill loads.
Sub-technique of: T1001
Adversaries may add junk data to protocols used for command and control to make detection more difficult. By adding random or meaningless data to the protocols used for command and control, adversaries can prevent trivial methods for decoding, deciphering, or otherwise analyzing the traffic. Examples may include appending/prepending data with junk characters or writing junk characters between significant characters.
Platforms: ESXi, Linux, macOS, Windows
Identify Attack Surface: Determine if the target environment is susceptible to Junk Data by examining the target platforms (ESXi, Linux, macOS).
Assess Existing Defenses: Review whether mitigations for T1001.001 are in place. If defenses are absent or misconfigured, this technique may be exploitable.
Execute Test: Use tools and methods described in the MITRE ATT&CK page and external references below.
Note: No Atomic Red Team tests available for this technique. See Atomic Red Team GitHub for updates.
Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate some obfuscation activity at the network level.
test cases passed, vs 7 / 22 without
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