CVE-2023-41316
Published: 07 September 2023
Summary
CVE-2023-41316 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Tolgee Tolgee. Its CVSS base score is 5.5 (Medium).
Operationally, ranked at the 44.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-45832
Vulnerability details
Tolgee is an open-source localization platform. Due to lack of validation field - Org Name, bad actor can send emails with HTML injected code to the victims. Registered users can inject HTML into unsanitized emails from the Tolgee instance to…
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other users. This unsanitized HTML ends up in invitation emails which appear as legitimate org invitations. Bad actors may direct users to malicious website or execute javascript in the context of the users browser. This vulnerability has been addressed in version 3.29.2. Users are advised to upgrade. There are no known workarounds for this vulnerability.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Directly implements checks on information inputs to reject invalid data before processing.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.