CVE-2023-49471: n/a
Source CVE Database V5
Not known to be exploited · CVSS 8.8 High · fixed in 3.2.0 : patch affected systems soon.
Data as of 26 Oct 2026, 07:57 UTC
- EPSS
- 1.1% chance of exploitation in 30 days – higher than 66% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 3.2.0
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 10 Jan 2024
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: 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 2026-10-26.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| n/a n/a | Affected
| Fixed in
|
AI-suggested
European organizations should prioritize upgrading karlomikus Bar Assistant to version 3.2.0 or later once available. In the absence of an official patch, immediate mitigations include implementing strict input validation and sanitization on parameters passed to Image::make() to prevent malicious payloads. Network-level controls should restrict outbound HTTP/HTTPS requests from the application server to only trusted destinations, minimizing SSRF attack surface. Employing Web Application Firewalls (WAFs) with custom rules to detect and block SSRF patterns can provide additional protection. Monitoring authentication logs for unusual access patterns and enforcing strong multi-factor authentication (MFA) reduces the risk of credential abuse. Regular code audits focusing on image processing and external request functions can identify similar vulnerabilities. Finally, organizations should enhance their detection capabilities by monitoring for anomalous outbound traffic and signs of code execution on affected systems.
Description
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.