What is the CVSS score of CVE-2026-27170?

CVE-2026-27170 has a CVSS 3.1 base score of 7.1 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N. EPSS exploitation probability: 0.1%.

Which versions of AI / ML are affected by CVE-2026-27170?

OpenShift installations running version 1.1.2-alpha and below contain a critical URL ingestion vulnerability that could allow attackers to manipulate the system into making unauthorized server-side…

How to fix or mitigate CVE-2026-27170?

Within 24 hours: Audit all OpenShift deployments to identify instances running v1.1.2-alpha or below and document their data classification and network connectivity. Within 7 days: Implement network segmentation to restrict outbound connections from affected systems and disable URL ingest functionality if operationally feasible. Within 30 days: Upgrade to the next available patched version when released, or evaluate alternative AI study tools if the vendor does not provide a timeline for patch availability.

AI / ML CVE-2026-27170

HIGH

Improper Input Validation (CWE-20)

2026-02-21 security-advisories@github.com

Code Injection AI / ML Opensift

7.1

CVSS 3.1 · GitHub Advisory

Severity by source

GitHub Advisory PRIMARY

7.1 HIGH

AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

Low

Availability

None

Lifecycle Timeline

Analysis Generated

Mar 12, 2026 - 22:04 vuln.today

CVE Published

Feb 21, 2026 - 00:16 nvd

HIGH 7.1

DescriptionGitHub Advisory

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. In versions 1.1.2-alpha and below, URL ingest allows overly permissive server-side fetch behavior and can be coerced into requesting unsafe targets. Potential access/probing of private/local network resources from the OpenSift host process when ingesting attacker-controlled URLs. This issue has been fixed in version 1.1.3-alpha. To workaround when using trusted local-only exceptions, use OPENSIFT_ALLOW_PRIVATE_URLS=true with caution.

AnalysisAI

OpenSift versions 1.1.2-alpha and below allow authenticated attackers to abuse the URL ingest feature's overly permissive server-side request functionality to probe or access private and local network resources from the OpenSift host. The vulnerability requires valid credentials but no user interaction, enabling attackers to enumerate or interact with internal infrastructure not otherwise accessible. No patch is currently available, though version 1.1.3-alpha contains a fix.

Technical ContextAI

Classified as CWE-20 (Improper Input Validation). Affects Opensift. OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. In versions 1.1.2-alpha and below, URL ingest allows overly permissive server-side fetch behavior and can be coerced into requesting unsafe targets. Potential access/probing of private/local network resources from the OpenSift host process when ingesting attacker-controlled URLs. This issue has been fixed in version 1.1.3-alpha. To workaround when using trusted local-only exceptions, use OPENS