MediumVulnerabilityLLM-specific

CVE-2026-100528: OpenClaw credential exposure to wrong endpoint after model config hot reload

Source: NVD(opens in a new tab)
Identifier: CVE-2026-100528
Published: September 25, 2026
Record updated: October 9, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.2%

Summary

OpenClaw (npm package 'openclaw') before 2026.8.1 could send third-party provider credentials to the wrong endpoint. The flaw occurs when a third-party provider uses an OpenAI-compatible API, the resolved model metadata lacks a concrete base URL, and a pinned session continues after a model configuration hot reload. The retained credential can then be disclosed to an unrelated provider endpoint, producing a misleading authentication error.

Mitigation

Fixed in 2026.8.1. Operators who observed this condition should rotate the affected credential.

Details

Scores and exploitation

CVSS score: 5.4(medium)
CVSS vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:N/A:L
Attack vector: network
Attack complexity: high
Privileges required: low
User interaction: required
EPSS: 0.2%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 11, 2026.
Disclosure date: September 25, 2026

Weaknesses and techniques

Weakness (CWE): CWE-200
Attack pattern (CAPEC): CAPEC-116

Affected

Vendors: OpenAI

Classification

Attack type: Data extraction
Attack sophistication: Moderate
AI component targeted: API
Impact: Confidentiality
Labels: security,
industry

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-100528

First tracked: September 26, 2026 at 02:07 AM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 90% (self-assessed)

Summary

Mitigation

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