🛡️ CVE-2026-1496
Description
Vulnerable versions of Coverity Connect lack an error handler in the authentication logic for command line tooling that makes it vulnerable to an authentication bypass. A malicious actor with access to the /token API endpoint that either knows or guesses a valid username, can use this in a specially crafted HTTP request to bypass authentication. Successful exploitation allows the malicious actor to assume all roles and privileges granted to the valid user’s Coverity Connect account.
Weakness class
CVE-2026-1496 is classified as CWE-639: Authorization Bypass Through User-Controlled Key. An object is selected by an identifier from the request without checking the caller owns it.
Affected software
CVE-2026-1496 is recorded against 1 package.
- unknown
Timeline and source
Published on 27 March 2026 and last revised on 17 June 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.
References
community.blackduck.com
community.blackduck.com
community.blackduck.com
github.com
Details
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| unknown | — | — |
References
Similar Threats
- Unknown CVE-2022-0003
- Unknown CVE-2022-0303
- High CVE-2022-1206
- Unknown CVE-2022-0931
- Unknown CVE-2022-0094
More CVE 2026 advisories
Browse all of CVE 2026 in the advisory index.
Free Vulnerability Check
Is your site affected by CVE-2026-1496?
BotEraser helps you identify potentially vulnerable plugins and themes by checking your installation against CVE-2026-1496 and other known CVE records.
Scan My Site Free →No credit card required · Results in minutes
ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.