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MITRE ATT&CK® Analytic

AN0466: Analytic 0466

Detects adversary behavior where the command-line arguments of a running process are overwritten in memory to spoof the process name, typically replacing it with a benign or misleading string. The detection correlates unexpected null byte sequences, discrepancies between `/proc//cmdline` and process ancestry, and suspicious memory writes shortly after process start.

EnterpriseAN0466AnalyticObject v1.0 Modified
Glexia's Take

Analyst context for executives and security teams

Analyst confidence High

This analytic matters because it targets a Linux evasion behavior: a running process changing its in-memory command-line arguments so it appears benign or misleading. For leaders, the value is not just catching a single process trick; it is validating whether SOC and incident response teams can trust process names and command lines during triage. If attackers can make suspicious processes look ordinary, investigations, containment decisions, and audit evidence can be weakened.

Executive priority

Prioritize this as a Linux monitoring and investigation-readiness question: can the organization distinguish what a process originally executed from what it later claims to be? Security leaders should ask whether Linux endpoint telemetry captures process start details, process ancestry, command-line state, and relevant memory-write indicators with enough fidelity to support incident decisions. This is especially important for environments where Linux systems support critical business services, cloud workloads, or regulated operations that require defensible investigation records.

Technical view

AN0466 is a detection analytic for Linux focused on command-line argument spoofing in memory. The official description identifies three validation anchors: unexpected null byte sequences, discrepancies between `/proc/<pid>/cmdline` and process ancestry, and suspicious memory writes shortly after process start. SOC and detection teams should test whether their telemetry preserves original process creation context and can compare it with later `/proc` command-line observations. IR teams should avoid relying only on the displayed process name or current command line when scoping suspicious Linux activity.

Likely telemetry

  • Linux process creation events, including executable path, command line, PID, PPID, user, and timestamp
  • Process ancestry records that allow parent-child validation over time
  • Observed `/proc/<pid>/cmdline` contents or equivalent endpoint inspection data
  • Memory write or process memory modification telemetry where available
  • Timestamped endpoint events close to process start time to support correlation

Detection direction

  • Validate that detections compare original process execution context against later command-line representations rather than trusting current process display alone.
  • Look for anomalous null byte sequences or truncated/misaligned command-line data where the telemetry source exposes it.
  • Correlate suspicious command-line changes with process ancestry and memory-write activity shortly after process start, as described by the analytic.
  • Tune carefully for legitimate Linux software that mutates argv or presents custom process titles, since these can create false positives.
  • Document blind spots where endpoint tooling cannot observe `/proc/<pid>/cmdline`, memory writes, or reliable process ancestry.

Mitigation priorities

  • Preserve high-fidelity Linux process creation logging before relying on detection logic that compares process state over time.
  • Ensure endpoint or workload monitoring can retain process ancestry and command-line evidence long enough for SOC and IR use.
  • Establish investigation playbooks that verify executable path, parent process, start time, user context, and file evidence instead of trusting process name alone.
  • For critical Linux servers and cloud workloads, prioritize monitoring coverage where process identity manipulation would materially affect incident response or compliance evidence.
  • Use detection testing in representative Linux environments to identify legitimate argv-changing applications and reduce avoidable alert noise.
Analyst notes and limits

The supplied ATT&CK object is a detection analytic, not a technique entry, and no tactics or relationship context were supplied. The strongest decision value is coverage validation: whether Linux telemetry can expose differences between original process execution and later command-line presentation. Local baselining is important because some legitimate programs intentionally change their displayed process title.

Official detection content is marked as not provided; this take is derived from the official description, platform field, external reference, and object metadata only. No claims are made about adversary use, attribution, impact, or guaranteed detection. Applicability beyond Linux is not supported by the supplied fields.

Official MITRE ATT&CK definition

Analytic 0466

Detects adversary behavior where the command-line arguments of a running process are overwritten in memory to spoof the process name, typically replacing it with a benign or misleading string. The detection correlates unexpected null byte sequences, discrepancies between `/proc//cmdline` and process ancestry, and suspicious memory writes shortly after process start.

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

How security teams should use this page

Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.

Relationship explorer

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Change history

Object version and sync metadata

The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates .

ATT&CK release
19.1
Object version
1.0
Created
Modified
Raw hash
3b1d824f49b3d750...
Imported snapshots across ATT&CK releases (1)
Release Bundle imported Object version Modified Status Raw hash
19.1 1.0 Current bundle 3b1d824f49b3…
Raw source

Mirrored ATT&CK source object

The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.

Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

  1. [1]
    mitre-attack AN0466
    Open source URL
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