FKIE_CVE-2026-54248
Vulnerability from fkie_nvd - Published: 2026-09-11 22:16 - Updated: 2026-09-11 22:16
Severity
Summary
Doco-CD is a GitOps continuous delivery tool that automatically deploys and updates Docker Compose projects/services and Swarm stacks. Prior to version 0.90.1, a trust-boundary flaw in OCI artifact verification allowed artifact-provided deployment config to influence the policy used to verify that same artifact. When global OCI signature verification was enabled via `OCI_TRUST_POLICY` (`enabled: true`), an attacker with write access to the configured OCI tag could publish an unsigned or improperly signed artifact containing `.doco-cd.yml` with `oci.verify: false`. This could cause signature verification to be bypassed and untrusted deployment content to be applied. This primarily impacts users deploying from OCI artifacts where deployment config is read from artifact contents (for example, poll/webhook flows without trusted inline deployment overrides). The issue is fixed by enforcing a strict trust boundary and no-downgrade behavior. First, artifact-contained `.doco-cd.yml` is treated as untrusted for OCI trust-policy override decisions. Second, if global `OCI_TRUST_POLICY.enabled` is `true`, per-deployment `oci.verify: false` cannot disable verification. Some workarounds are available. Do not source deployment config from untrusted OCI artifact contents. Use trusted inline `POLL_CONFIG.deployments` and avoid relying on artifact-contained trust-policy overrides. Restrict write/push permissions for OCI repositories/tags used by doco-cd. Prefer immutable digest pinning and protected release/tag workflows. Monitor for unexpected artifact digest changes and failed/suspicious verification events.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "doco-cd",
"vendor": "kimdre",
"versions": [
{
"status": "affected",
"version": "\u003c 0.90.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Doco-CD is a GitOps continuous delivery tool that automatically deploys and updates Docker Compose projects/services and Swarm stacks. Prior to version 0.90.1, a trust-boundary flaw in OCI artifact verification allowed artifact-provided deployment config to influence the policy used to verify that same artifact. When global OCI signature verification was enabled via `OCI_TRUST_POLICY` (`enabled: true`), an attacker with write access to the configured OCI tag could publish an unsigned or improperly signed artifact containing `.doco-cd.yml` with `oci.verify: false`. This could cause signature verification to be bypassed and untrusted deployment content to be applied. This primarily impacts users deploying from OCI artifacts where deployment config is read from artifact contents (for example, poll/webhook flows without trusted inline deployment overrides). The issue is fixed by enforcing a strict trust boundary and no-downgrade behavior. First, artifact-contained `.doco-cd.yml` is treated as untrusted for OCI trust-policy override decisions. Second, if global `OCI_TRUST_POLICY.enabled` is `true`, per-deployment `oci.verify: false` cannot disable verification. Some workarounds are available. Do not source deployment config from untrusted OCI artifact contents. Use trusted inline `POLL_CONFIG.deployments` and avoid relying on artifact-contained trust-policy overrides. Restrict write/push permissions for OCI repositories/tags used by doco-cd. Prefer immutable digest pinning and protected release/tag workflows. Monitor for unexpected artifact digest changes and failed/suspicious verification events."
}
],
"id": "CVE-2026-54248",
"lastModified": "2026-09-11T22:16:38.353",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 5.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2026-09-11T22:16:38.353",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/kimdre/doco-cd/pull/1407"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/kimdre/doco-cd/releases/tag/v0.90.1"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/kimdre/doco-cd/security/advisories/GHSA-5rv3-qpp3-6jp5"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-347"
},
{
"lang": "en",
"value": "CWE-501"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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