CVE-2026-12225 (GCVE-0-2026-12225)
Vulnerability from cvelistv5 – Published: 2026-06-16 11:20 – Updated: 2026-06-16 12:09
VLAI
Title
syracom Secure Login (2FA) for Confluence allows 2FA bypass via spoofed User-Agent
Summary
syracom AG Secure Login (2FA) for Atlassian Jira, Confluence, and Bitbucket 3.4.0.x contains an authentication bypass vulnerability. An attacker with valid credentials for a user account can bypass the two-factor authentication flow by sending HTTP requests with a crafted User-Agent header containing specific strings such as AtlassianMobileApp or JIRA. When such a User-Agent is present, the plugin does not enforce the configured 2FA checks for protected web resources. Successful exploitation allows the attacker to access the affected Atlassian application as the compromised user without completing 2FA. If the compromised account has administrative privileges, the attacker can access administrative functionality and may disable the 2FA plugin or make arbitrary administrative changes. The issue is fixed in version 3.5.0.0.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-288 - Authentication bypass using an alternate path or channel
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://marketplace.atlassian.com/apps/1214491/se… | product |
| https://syracom-bee.atlassian.net/wiki/spaces/SL/… | vendor-advisory |
| https://syracom-bee.atlassian.net/wiki/spaces/SL/… | mitigation |
| https://r.sec-consult.com/syracom | third-party-advisory |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| syracom AG | Secure Login (2FA) for Jira |
Affected:
3.4.0.0 , < 3.5.0.0
(custom)
|
|
| syracom AG | Secure Login (2FA) for Confluence |
Affected:
3.4.0.0 , < 3.5.0.0
(custom)
|
|
| syracom AG | Secure Login (2FA) for Bitbucket |
Affected:
3.4.0.0
(custom)
|
Credits
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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