CVE-2026-28479

March 5, 2026, 10:16 p.m.

8.7
High

Description

OpenClaw versions prior to 2026.2.15 use SHA-1 to hash sandbox identifier cache keys for Docker and browser sandbox configurations, which is deprecated and vulnerable to collision attacks. An attacker can exploit SHA-1 collisions to cause cache poisoning, allowing one sandbox configuration to be misinterpreted as another and enabling unsafe sandbox state reuse.

Product(s) Impacted

Vendor Product Versions
Openclaw
  • Openclaw
  • <2026.2.15

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-327
Use of a Broken or Risky Cryptographic Algorithm
The product uses a broken or risky cryptographic algorithm or protocol.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a openclaw openclaw <2026.2.15 / / / / / / /

References

https://github.com/openclaw/openclaw/commit/559c8d9930eebb5356506ff1a8cd3dbaec92be77
https://github.com/openclaw/openclaw/security/advisories/GHSA-fh3f-q9qw-93j9
https://www.vulncheck.com/advisories/openclaw-cache-poisoning-via-deprecated-sha-hash-in-sandbox-configuration

Tags

CWE-327
[email protected]
2026-03-05
CVE-2026-28479

CVSS Score

8.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED

    • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: March 5, 2026, 10:16 p.m.
Last Modified: March 5, 2026, 10:16 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

[email protected]

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.