Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:LSummary
CVE-2023-38501 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in 9001 Copyparty. Its CVSS base score is 6.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked in the top 5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
copyparty is an open-source file server application that was affected by a reflected cross-site scripting vulnerability in versions prior to 1.8.7. The flaw is triggered through the URL parameters ?k304=... and ?setck=..., allowing script injection that executes in the context of the victim’s session. It is tracked as CWE-79 with a CVSS 3.1 base score of 6.3.
An unauthenticated attacker can deliver a crafted link to a copyparty user; if the link is followed, the injected script can perform actions such as moving, deleting, or uploading files under the victim’s account. The attack requires user interaction but needs no prior authentication on the server.
The project’s GitHub security advisory and accompanying patch commit recommend upgrading to version 1.8.7. Administrators are also advised to rotate account passwords unless server logs have been inspected and show no evidence of exploitation. Public references include a PacketStorm proof-of-concept and the official advisory at GHSA-f54q-j679-p9hh.
The CVE carries an EPSS score that has reached a peak of 0.8111, indicating sustained exploitation interest after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0056
Vulnerability Data
copyparty is file server software. Prior to version 1.8.7, the application contains a reflected cross-site scripting via URL-parameter `?k304=...` and `?setck=...`. The worst-case outcome of this is being able to move or delete existing files on the server, or upload…
more
new files, using the account of the person who clicks the malicious link. It is recommended to change the passwords of one's copyparty accounts, unless one have inspected one's logs and found no trace of attacks. Version 1.8.7 contains a patch for the issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.1.2V1.3.2
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.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
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.
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).
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.
Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.
Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.
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.
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.
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.
Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.