CVE-2023-49471
Published: 10 January 2024
Summary
CVE-2023-49471 is a high-severity SSRF (CWE-918) vulnerability in Barassistant Bar Assistant. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 5.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
CVE-2023-49471 is a blind server-side request forgery vulnerability affecting karlomikus Bar Assistant prior to version 3.2.0. The flaw stems from missing validation of a parameter passed to Image::make(), allowing an outbound request to be issued without proper checks and falling under CWE-918.
Authenticated remote attackers can supply a crafted parameter to trigger the SSRF condition. Successful exploitation grants the ability to execute arbitrary code on the affected server, consistent with the reported CVSS 3.1 score of 8.8.
The associated EPSS score reached a peak of 0.1745 after disclosure before settling at the current value of 0.1299, indicating that exploitation interest emerged following public release of the CVE. Public references consist of proof-of-concept material hosted on GitHub but contain no official patch or mitigation guidance.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-53432
Vulnerability details
Blind Server-Side Request Forgery (SSRF) vulnerability in karlomikus Bar Assistant before version 3.2.0 does not validate a parameter before making a request through Image::make(), which could allow authenticated remote attackers to execute arbitrary code.
- 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.
Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.
Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.
Validates server-side URLs and resource references to block SSRF attempts.
Detects server-side request forgery through monitoring of unexpected outbound connections.