What is the CVSS score of CVE-2021-30108?

CVE-2021-30108 has a CVSS 3.1 base score of 9.1 (Critical). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N. EPSS exploitation probability: 1.1%.

Is there a public PoC exploit available for CVE-2021-30108?

Yes, a public proof-of-concept exploit is available for CVE-2021-30108. Prioritise patching immediately. EPSS: 1.1%.

Feehi Cms CVE-2021-30108

CRITICAL

Server-Side Request Forgery (SSRF) (CWE-918)

2021-05-24 cve@mitre.org

SSRF Feehi Cms

9.1

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

9.1 CRITICAL

AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

None

Lifecycle Timeline

CVE Published

May 24, 2021 - 20:15 nvd

CRITICAL 9.1

DescriptionNVD

Feehi CMS 2.1.1 is affected by a Server-side request forgery (SSRF) vulnerability. When the user modifies the HTTP Referer header to any url, the server can make a request to it.

AnalysisAI

Feehi CMS 2.1.1 is affected by a Server-side request forgery (SSRF) vulnerability. Rated critical severity (CVSS 9.1), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available and no vendor patch available.

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. Feehi CMS 2.1.1 is affected by a Server-side request forgery (SSRF) vulnerability. When the user modifies the HTTP Referer header to any url, the server can make a request to it. Affected products include: Feehi Feehi Cms.

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.