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🛡️ MAL-2026-13467 — wos-library-ui

⚪ Unknown ✅ No Known Exploit OSV
N/A
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

Malicious code in wos-library-ui (npm)

Source: amazon-inspector

[email protected] declares scripts.preinstall = 'node poc.js', which auto-runs on npm install. poc.js reads os.hostname(), os.userInfo().username, and process.cwd() and transmits them to the hardcoded Interactsh subdomain csytkgaubytabdgcvgljmgf8o1uj876pg.oast.fun via both a DNS A-record lookup (encoding host/user in the subdomain) and an http.request POST. The package name and inflated 99.0.0 version match the classic dependency-confusion shape targeting an internal 'wos-library-ui' package (self-described as an Inditex WOS PoC): any resolver that prefers the public npm registry will pull this artifact instead of the internal one and execute the beacon, disclosing internal host identifiers and build-path details to a third-party out-of-band collector. Self-labeling as a bug-bounty PoC does not alter the installer-side effect: unconsented install-time exfiltration of installer identity from a namesquatted package on the public registry.

Affected software

MAL-2026-13467 is recorded against 1 package.

  • wos-library-ui

Timeline and source

Published on 6 August 2026. No public exploit is currently recorded for this entry. Record sourced from OSV.

References

www.npmjs.com (Package)

Details

Severity Unknown
CVSS Score N/A
CVSS Vector N/A
CWE N/A
Public Exploit ✅ No
Source OSV
Published 2026-08-06
Updated 2026-08-20
Modified 2026-08-06
Fix URL N/A

Affected Packages

Software From version Fixed in
wos-library-ui

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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