Cyber Resilience

CVE-2022-32174

XSS in Gogs 0.6.5 – 0.12.10

Public PoCHigh EPSSXSS
Published
11 October 2022
Modified
27 May 2025
CVSS Score v3.1 9.0
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H
EPSS Score 0.58 99th percentile
Risk Priority 80 floored blend · peak EPSS

Summary

CVE-2022-32174 is a critical-severity Cross-site Scripting (CWE-79) vulnerability in Gogs Gogs. Its CVSS base score is 9.0 (Critical).

Operationally, ranked in the top 1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

In Gogs, versions v0.6.5 through v0.12.10 are vulnerable to Stored Cross-Site Scripting (XSS) that leads to an account takeover.

CWE(s)

Related Threats

Likely ATT&CK TechniquesAI

Techniques this vulnerability likely enables, inferred from its description, weakness type, and attributed-actor tradecraft. Confidence is per-technique.

T1189 Drive-by Compromise Initial Accessconfidence: HIGH
Stored XSS payload delivered via the web application enables drive-by compromise when a victim visits the affected page.
T1185 Browser Session Hijacking Collectionconfidence: HIGH
Successful XSS in the web UI can hijack the victim's authenticated browser session, enabling account takeover.
T1556 Modify Authentication Process Defense Impairmentconfidence: MEDIUM
Account takeover via stolen session can be leveraged to modify authentication settings or add attacker-controlled credentials.
inferred from description + CWE · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2023-22972Shared CWE-79
CVE-2023-4482Shared CWE-79
CVE-2023-48472Shared CWE-79
CVE-2023-4175Shared CWE-79
CVE-2023-50833Shared CWE-79
CVE-2023-30097Shared CWE-79
CVE-2023-36656Shared CWE-79
CVE-2023-2477Shared CWE-79
CVE-2023-46783Shared CWE-79
CVE-2023-3476Shared CWE-79

Affected Assets

gogs
gogs
0.6.5 — 0.12.10

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.1.2
  • V1.3.2

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.

addresses: CWE-79

Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.

addresses: CWE-79

Validates web inputs to reject script-related content that could produce XSS.

addresses: CWE-79

Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly target introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).

PR.PS-02 partial match
prevents

Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

detects

Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.

prevents

Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.

prevents

Operational indicators of compromise for web-application attacks can be incorporated into WAF or input-filtering rules, lowering the likelihood that unsanitized data reaches the browser.

prevents

Requiring language-specific secure-coding standards and automated scanning during the SDLC catches missing output encoding or improper neutralization of untrusted data before the software reaches production.

prevents

Secure-coding standards, SAST scans and removal of insecure code samples together eliminate the failure to neutralize script content that produces cross-site scripting flaws.

none

Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.

References