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Bar Assistant CVE-2023-49471

HIGH
Server-Side Request Forgery (SSRF) (CWE-918)
2024-01-10 cve@mitre.org
8.8
CVSS 3.1 · NVD
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Severity by source

NVD PRIMARY
8.8 HIGH
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

3
Analysis Generated
Mar 28, 2026 - 19:34 vuln.today
PoC Detected
Jun 03, 2025 - 15:15 vuln.today
Public exploit code
CVE Published
Jan 10, 2024 - 09:15 nvd
HIGH 8.8

DescriptionCVE.org

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.

AnalysisAI

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. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity. Public exploit code available and EPSS exploitation probability 13.0%.

Technical ContextAI

This vulnerability is classified as Server-Side Request Forgery (SSRF) (CWE-918), which allows attackers to make the server perform requests to unintended internal or external resources. 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. Affected products include: Barassistant Bar Assistant. Version information: version 3.2.0.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Validate and allowlist destination URLs, block requests to internal networks, use network segmentation.

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CVE-2023-49471 vulnerability details – vuln.today

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