CVE-2026-88979 (GCVE-0-2026-88979)
Vulnerability from cvelistv5 – Published: 2026-11-05 22:14 – Updated: 2026-11-06 17:39
VLAI
EPSS
VEX
Title
Kubeflow Pipelines: Unauthenticated SSRF vulnerability in Kubeflow Pipelines TensorBoard proxy
Summary
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. From 2.17.0 until 2.18.0, the TensorBoard proxy token introduced by the incomplete remediation for CVE-2026-54745 uses MINIO_SECRET_KEY as its HMAC secret, whose bundled default is publicly known. In an authorization-disabled deployment using that default, an unauthenticated attacker can forge a token containing a chosen viewerName and namespace; the proxy constructs the destination from the viewerName plus the -service suffix, the namespace, and the configured cluster domain, then reads responses on port 80 under the /tensorboard/<viewer>/ path. Resource-name validation and path-traversal rejection remain enforced, authorization-enabled deployments still check access to the selected namespace, and unrestricted metadata access, writes, or service disruption are not established. This issue is fixed in version 2.18.0.
Severity
5.8 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-11-06 17:39 UTC
Assigner
GitHub_M
CNA
References
4 references
| URL | Tags |
|---|---|
| https://github.com/kubeflow/pipelines/security/ad… | x_refsource_CONFIRM |
| https://github.com/kubeflow/pipelines/pull/14346 | x_refsource_MISC |
| https://github.com/kubeflow/pipelines/commit/c8ef… | x_refsource_MISC |
| https://github.com/kubeflow/pipelines/releases/ta… | x_refsource_MISC |
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-88979",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-11-06T17:39:20.562426Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-11-06T17:39:46.730Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/kubeflow/pipelines/security/advisories/GHSA-j429-j7xw-8j9h"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "pipelines",
"vendor": "kubeflow",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.17.0, \u003c 2.18.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. From 2.17.0 until 2.18.0, the TensorBoard proxy token introduced by the incomplete remediation for CVE-2026-54745 uses MINIO_SECRET_KEY as its HMAC secret, whose bundled default is publicly known. In an authorization-disabled deployment using that default, an unauthenticated attacker can forge a token containing a chosen viewerName and namespace; the proxy constructs the destination from the viewerName plus the -service suffix, the namespace, and the configured cluster domain, then reads responses on port 80 under the /tensorboard/\u003cviewer\u003e/ path. Resource-name validation and path-traversal rejection remain enforced, authorization-enabled deployments still check access to the selected namespace, and unrestricted metadata access, writes, or service disruption are not established. This issue is fixed in version 2.18.0."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-798",
"description": "CWE-798: Use of Hard-coded Credentials",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-918",
"description": "CWE-918: Server-Side Request Forgery (SSRF)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-11-05T22:14:38.071Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/kubeflow/pipelines/security/advisories/GHSA-j429-j7xw-8j9h",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/kubeflow/pipelines/security/advisories/GHSA-j429-j7xw-8j9h"
},
{
"name": "https://github.com/kubeflow/pipelines/pull/14346",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/kubeflow/pipelines/pull/14346"
},
{
"name": "https://github.com/kubeflow/pipelines/commit/c8effaed62476a8d8c99d3a6cfdd404a04ef99d8",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/kubeflow/pipelines/commit/c8effaed62476a8d8c99d3a6cfdd404a04ef99d8"
},
{
"name": "https://github.com/kubeflow/pipelines/releases/tag/2.18.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/kubeflow/pipelines/releases/tag/2.18.0"
}
],
"source": {
"advisory": "GHSA-j429-j7xw-8j9h",
"discovery": "UNKNOWN"
},
"title": "Kubeflow Pipelines: Unauthenticated SSRF vulnerability in Kubeflow Pipelines TensorBoard proxy"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-88979",
"datePublished": "2026-11-05T22:14:38.071Z",
"dateReserved": "2026-09-10T16:02:31.342Z",
"dateUpdated": "2026-11-06T17:39:46.730Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-88979",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "yes"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-11-06T17:39:20.562426Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-11-06T17:39:40.514Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/kubeflow/pipelines/security/advisories/GHSA-j429-j7xw-8j9h"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "pipelines",
"vendor": "kubeflow",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.17.0, \u003c 2.18.0"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. From 2.17.0 until 2.18.0, the TensorBoard proxy token introduced by the incomplete remediation for CVE-2026-54745 uses MINIO_SECRET_KEY as its HMAC secret, whose bundled default is publicly known. In an authorization-disabled deployment using that default, an unauthenticated attacker can forge a token containing a chosen viewerName and namespace; the proxy constructs the destination from the viewerName plus the -service suffix, the namespace, and the configured cluster domain, then reads responses on port 80 under the /tensorboard/\u003cviewer\u003e/ path. Resource-name validation and path-traversal rejection remain enforced, authorization-enabled deployments still check access to the selected namespace, and unrestricted metadata access, writes, or service disruption are not established. This issue is fixed in version 2.18.0."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-798",
"description": "CWE-798: Use of Hard-coded Credentials",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-918",
"description": "CWE-918: Server-Side Request Forgery (SSRF)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-11-05T22:14:38.071Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/kubeflow/pipelines/security/advisories/GHSA-j429-j7xw-8j9h",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/kubeflow/pipelines/security/advisories/GHSA-j429-j7xw-8j9h"
},
{
"name": "https://github.com/kubeflow/pipelines/pull/14346",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/kubeflow/pipelines/pull/14346"
},
{
"name": "https://github.com/kubeflow/pipelines/commit/c8effaed62476a8d8c99d3a6cfdd404a04ef99d8",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/kubeflow/pipelines/commit/c8effaed62476a8d8c99d3a6cfdd404a04ef99d8"
},
{
"name": "https://github.com/kubeflow/pipelines/releases/tag/2.18.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/kubeflow/pipelines/releases/tag/2.18.0"
}
],
"source": {
"advisory": "GHSA-j429-j7xw-8j9h",
"discovery": "UNKNOWN"
},
"title": "Kubeflow Pipelines: Unauthenticated SSRF vulnerability in Kubeflow Pipelines TensorBoard proxy"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-88979",
"datePublished": "2026-11-05T22:14:38.071Z",
"dateReserved": "2026-09-10T16:02:31.342Z",
"dateUpdated": "2026-11-06T17:39:46.730Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Loading…
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.