CVE-2026-69092: Admidio versions before 5.0.11 contain a reflected cross-site scripting vulnerability in the SSO/SAML endpoint that echoes unencoded exception
Affects admidioSource GCVE Database
Not known to be exploited · CVSS 6.5 Medium : upgrade to 5.0.11 when convenient.
Data as of 1 Nov 2026, 22:58 UTC
- EPSS
- 0.3% chance of exploitation in 30 days – higher than 31% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 5.0.11
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:NExploitation evidence
Disclosed: evidence found.
CVE published 3 Aug 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 1 Nov 2026.
What to do
Upgrade admidio/admidio to 5.0.11.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
GitHubadmidio/admidiopkg:github/admidio/admidioOther 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 Admidio version 5.0.11. Users should upgrade to version 5.0.11 or later to remediate this vulnerability. Until patched, avoid exposing the vulnerable SSO/SAML endpoint to untrusted users or networks if possible.
Description
Admidio versions before 5.0.11 have a reflected cross-site scripting (XSS) vulnerability in the SSO/SAML endpoint. This vulnerability occurs because unencoded exception messages are echoed in HTTP responses. Unauthenticated attackers can exploit this by injecting arbitrary JavaScript via SAML Issuer elements or LightSaml library parameters, potentially executing code in users' browsers and hijacking sessions.