Execution
T1677 — Poisoned Pipeline Execution
Adversaries may manipulate continuous integration / continuous development (CI/CD) processes by injecting malicious code into the build process. There are several mechanisms for poisoning pipelines: * In a <b>Direct Pipeline Execution</b> scenario, the threat actor directly modifies the CI configuration file (e.g., `gitlab-ci.yml` in GitLab). They may include a command to exfiltrate credentials leveraged in the build process to a remote server, or to export them as a workflow artifact...
Investigate Poisoned Pipeline Execution activity in the context of Execution: confirm scope, affected host/identity, and whether it matches expected administrative behaviour before deciding this is benign.
Platforms
SaaS
Priority / status
medium / draft
Evidence to collect
- Host or resource affected
- Account or identity involved
- Timestamp of the activity
- Related process, file, or network artifact
- Any preceding or follow-on alerts
D3-NTA · detect
Network Traffic Analysis
Monitor for Network Traffic Analysis indicators relevant to this technique.
Tooling: Sentinel, Defender for Endpoint
| ATT&CK Technique | D3FEND Technique | Practical SOC Action | Tooling |
|---|---|---|---|
| T1677 Poisoned Pipeline Execution | Network Traffic Analysis | Monitor for Network Traffic Analysis indicators relevant to this technique. | Sentinel, Defender for Endpoint |
T1677 Poisoned Pipeline Execution → D3FEND → SOC action
Investigation steps — Microsoft
- Review Defender for Endpoint / Defender XDR alerts and timeline for the affected host or identity.
- Check Sentinel analytics rules and incidents correlated with this technique.
- Review Entra ID sign-in and audit logs if the technique involves an identity or cloud resource.
Investigation steps — generic
- Confirm whether the observed poisoned pipeline execution activity matches expected administrative or application behaviour.
- Identify the host, account, or resource where the activity occurred and its business criticality.
- Check for related alerts before and after this activity to reconstruct the broader intrusion timeline.
Response actions
| Action | Risk | Automation safe | Approval required |
|---|---|---|---|
| Contain the affected host or account | Medium | No | Yes |
| Collect and preserve evidence | Low | Yes | No |
KQL
Starting point for T1677
DeviceEvents
| where TimeGenerated > ago(24h)
| where ActionType has "<tune to T1677>" Escalation criteria
- Poisoned Pipeline Execution activity observed on a privileged account or critical system.
- Activity follows or precedes other suspicious behaviour in the same investigation.
- Automated triage cannot confidently rule out malicious intent.
False positive considerations
- Legitimate administrative or maintenance activity matching this pattern.
- Approved security testing or red team exercise.
- Known benign software producing similar telemetry.
# T1677 - Poisoned Pipeline Execution
## SOC Recommendation
Investigate Poisoned Pipeline Execution activity in the context of Execution: confirm scope, affected host/identity, and whether it matches expected administrative behaviour before deciding this is benign.
## D3FEND Mappings
| D3FEND Technique | Relationship | Practical SOC Action |
|---|---|---|
| Network Traffic Analysis | Detect | Monitor for Network Traffic Analysis indicators relevant to this technique. |
## Investigation Steps
1. Review Defender for Endpoint / Defender XDR alerts and timeline for the affected host or identity.
2. Check Sentinel analytics rules and incidents correlated with this technique.
3. Review Entra ID sign-in and audit logs if the technique involves an identity or cloud resource.
## Evidence to Collect
- Host or resource affected
- Account or identity involved
- Timestamp of the activity
- Related process, file, or network artifact
- Any preceding or follow-on alerts
## Response Actions
| Action | Risk | Automation Safe | Approval Required |
|---|---|---|---|
| Contain the affected host or account | Medium | No | Yes |
| Collect and preserve evidence | Low | Yes | No |
## KQL
```kql
DeviceEvents
| where TimeGenerated > ago(24h)
| where ActionType has "<tune to T1677>"
```
## Escalation Criteria
- Poisoned Pipeline Execution activity observed on a privileged account or critical system.
- Activity follows or precedes other suspicious behaviour in the same investigation.
- Automated triage cannot confidently rule out malicious intent.
## False Positive Considerations
- Legitimate administrative or maintenance activity matching this pattern.
- Approved security testing or red team exercise.
- Known benign software producing similar telemetry.
Generated by SOC Response Atlas by Basyrix.
Want to push this directly to Confluence? Upgrade to Basyrix Pro.
- /api/techniques/T1677.json
- /api/recommendations/T1677.json
- /api/d3fend/T1677.json
- /api/mappings/T1677.json
- /api/confluence/T1677.md
Example curl:
curl https://atlas.basyrix.com/api/recommendations/T1677.json Response:
{
"technique_id": "T1677",
"name": "Poisoned Pipeline Execution",
"priority": "medium",
"status": "draft",
"version": "0.1.0",
"last_reviewed": "2026-07-23",
"generated_by": "SOC Response Atlas by Basyrix",
"tactics": [
"Execution"
],
"platforms": [
"SaaS"
],
"summary": "Adversaries may manipulate continuous integration / continuous development (CI/CD) processes by injecting malicious code into the build process. There are several mechanisms for poisoning pipelines: * In a <b>Direct Pipeline Execution</b> scenario, the threat actor directly modifies the CI configuration file (e.g., `gitlab-ci.yml` in GitLab). They may include a command to exfiltrate credentials leveraged in the build process to a remote server, or to export them as a workflow artifact...",
"soc_recommendation": "Investigate Poisoned Pipeline Execution activity in the context of Execution: confirm scope, affected host/identity, and whether it matches expected administrative behaviour before deciding this is benign.",
"d3fend_mappings": [
{
"id": "D3-NTA",
"name": "Network Traffic Analysis",
"relationship": "detect",
"practical_action": "Monitor for Network Traffic Analysis indicators relevant to this technique.",
"tooling": [
"Sentinel",
"Defender for Endpoint"
]
}
],
"investigation_steps": {
"microsoft": [
"Review Defender for Endpoint / Defender XDR alerts and timeline for the affected host or identity.",
"Check Sentinel analytics rules and incidents correlated with this technique.",
"Review Entra ID sign-in and audit logs if the technique involves an identity or cloud resource."
],
"generic": [
"Confirm whether the observed poisoned pipeline execution activity matches expected administrative or application behaviour.",
"Identify the host, account, or resource where the activity occurred and its business criticality.",
"Check for related alerts before and after this activity to reconstruct the broader intrusion timeline."
]
},
"evidence_to_collect": [
"Host or resource affected",
"Account or identity involved",
"Timestamp of the activity",
"Related process, file, or network artifact",
"Any preceding or follow-on alerts"
],
"response_actions": [
{
"name": "Contain the affected host or account",
"category": "Containment",
"risk": "Medium",
"automation_safe": false,
"approval_required": true,
"tool": "Defender for Endpoint / Entra ID",
"notes": "Requires approval -- confirm malicious intent before isolating a host or disabling an account."
},
{
"name": "Collect and preserve evidence",
"category": "Investigation",
"risk": "Low",
"automation_safe": true,
"approval_required": false,
"tool": "Defender for Endpoint",
"notes": "Safe -- read-only evidence collection."
}
],
"queries": {
"kql": [
{
"name": "Starting point for T1677",
"description": "Generic starting query -- tune to the specific data source relevant to this technique.",
"query": "DeviceEvents\n| where TimeGenerated > ago(24h)\n| where ActionType has \"<tune to T1677>\""
}
],
"spl": [],
"esql": []
},
"automation": {
"safe": [
"Add recommendation as Sentinel incident comment.",
"Run enrichment queries.",
"Create ServiceNow SecOps task."
],
"approval_required": [
"Contain or disable the affected host/account.",
"Any change to production configuration."
]
},
"escalation_criteria": [
"Poisoned Pipeline Execution activity observed on a privileged account or critical system.",
"Activity follows or precedes other suspicious behaviour in the same investigation.",
"Automated triage cannot confidently rule out malicious intent."
],
"false_positive_considerations": [
"Legitimate administrative or maintenance activity matching this pattern.",
"Approved security testing or red team exercise.",
"Known benign software producing similar telemetry."
],
"confluence": {
"title": "T1677 - Poisoned Pipeline Execution Response Guidance",
"labels": [
"mitre",
"attack",
"d3fend",
"secops",
"basyrix"
],
"sections": [
"summary",
"d3fend_mappings",
"investigation_steps",
"response_actions",
"queries",
"automation",
"escalation_criteria",
"false_positive_considerations"
]
}
}