OpenAM from 14.5.1 before 16.1.4 contains a cross-site request forgery vulnerability in the OAuth 2.0 device
Source GCVE Database
Not known to be exploited · CVSS 7.1 High : upgrade to 16.1.4 soon.
Data as of 8 Nov 2026, 06:47 UTC
Thin evidence
One scorer or none| CNA (VulnCheck) | CVSS 4.0 | 7.1 |
|---|---|---|
| CNA (VulnCheck) | CVSS 3.1 | 7.1 |
- Patch
- Available – fixed in 16.1.4
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:L/VA:N/SC:N/SI:N/SA:NExploitation evidence
Disclosed: evidence found.
CVE published 8 Nov 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 7 Nov 2026.
What to do
Upgrade OpenAM to 16.1.4.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| OpenIdentityPlatformOpenAM | Affected
| Fixed in
|
MavenOpenAMpkg:maven/OpenAMOther threats | Affected
| Fixed in
|
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
A fix is available in OpenAM version 16.1.4 and later. Users should upgrade to version 16.1.4 or newer to remediate this vulnerability. Since the vendor advisory or patch links are not provided, confirm patch availability from the official OpenAM sources before applying. Until patched, avoid skipping consent for implied-consent clients in the OAuth 2.0 device authorization flow or implement additional CSRF protections.
Description
OpenAM versions from 14.5.1 up to but not including 16.1.4 contain a cross-site request forgery (CSRF) vulnerability in the OAuth 2.0 device authorization flow. This flaw allows attackers to approve device codes without user consent when consent is skipped for implied-consent clients. An attacker can initiate a device authorization and trick a logged-in user into visiting a malicious page, thereby obtaining access and ID tokens to impersonate the user in API calls.