Comparison Overview
Urban Outfitters

Urban Outfitters
5000 S. Broad St, Philadelpia, PA, US, 19112
Last Update: 03/04/2026
Urban Outfitters is a global lifestyle brand dedicated to fueling the next generation’s individuality through a unique blend of product, creativity, music, and youth culture. Founded in 1970 in a small space across from the University of Pennsylvania, Urban Outfitters n...

Aditya Birla Fashion and Retail Ltd.
Piramal Agastya Corporate Park, Building 'A', 4th and 5th Floor, Unit No. 401, 403, 501, 502, L.B.S. Road, Kurla, Mumbai, Maharashtra, IN, 400070
Last Update: 31/03/2026
Aditya Birla Fashion and Retail Limited (ABFRL), part of the Aditya Birla Group, is India’s leading fashion powerhouse, offering a distinguished portfolio of renowned brands and retail formats, catering to multiple high-growth segments. As of March 31, 2025, the Compan...
Compliance Ranges Comparison

Urban Outfitters







Aditya Birla Fashion and Retail Ltd.






Benchmark & Cyber Underwriting Signals
Incidents vs Retail Apparel and Fashion Industry Avg (This Year)
Urban Outfitters has 66.67% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Retail Apparel and Fashion Industry Avg (This Year)
No incidents recorded for Aditya Birla Fashion and Retail Ltd. in 2026.
Incident History - Urban Outfitters (X = Date, Y = Severity)
Urban Outfitters cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Aditya Birla Fashion and Retail Ltd. (X = Date, Y = Severity)
Aditya Birla Fashion and Retail Ltd. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Urban Outfitters

Aditya Birla Fashion and Retail Ltd.
FAQ
Latest Global CVEs
Authentication bypass using an alternate path or channel in Microsoft Edge (Chromium-based) allows an unauthorized attacker to perform tampering over a network.
JLine is a Java library for handling console input. Prior to 3.30.14, 4.0.16, and 4.2.1, the JLine3 Telnet server remote-telnet module does not apply an upper bound to terminal dimensions received via the Telnet NAWS option, and TelnetIO.handleNAWS() in TelnetIO.java:856-879 reads client-supplied width and height as 16-bit unsigned integers and passes values such as 65535x65535 to setTerminalGeometry(), allowing an unauthenticated remote attacker to repeatedly alternate values and trigger continuous expensive rendering work that causes CPU exhaustion and denial of service. This issue is fixed in versions 3.30.14, 4.0.16, and 4.2.1.
- https://github.com/jline/jline3/commit/3ea9cad8699714dc072fade29d36be0d1e23d708
- https://github.com/jline/jline3/commit/733eb353dca7b0ea0252e724445b6defa29c393e
- https://github.com/jline/jline3/commit/86b7ba7801988aadb1a67555629522a71d603bd3
- https://github.com/jline/jline3/pull/2000
- https://github.com/jline/jline3/releases/tag/4.0.16
- https://github.com/jline/jline3/releases/tag/4.2.1
- https://github.com/jline/jline3/security/advisories/GHSA-2r2c-cx56-8933
JLine is a Java library for handling console input. Prior to 3.30.14, 4.0.16, and 4.2.1, the JLine3 Telnet server remote-telnet module does not limit the number of environment variables a client may inject via the Telnet NEW-ENVIRON option, and TelnetIO.readNEVariables() in TelnetIO.java:1127-1180 stores each variable pair in a HashMap held by ConnectionData, allowing an unauthenticated attacker to flood unique variable pairs before the terminating IAC SE byte and exhaust JVM heap memory with an OutOfMemoryError. This issue is fixed in versions 3.30.14, 4.0.16, and 4.2.1.
- https://github.com/jline/jline3/commit/0389f0ee6d0375901b602671ad5dafd4d1d4ee09
- https://github.com/jline/jline3/commit/4ee3a73849ffb9a85ec748e4e8cd8f6d81f84f40
- https://github.com/jline/jline3/commit/934f09e6128cee33c2b13d42b6e859c1ee2d194b
- https://github.com/jline/jline3/pull/2000
- https://github.com/jline/jline3/pull/2001
- https://github.com/jline/jline3/releases/tag/4.0.16
- https://github.com/jline/jline3/releases/tag/4.2.1
- https://github.com/jline/jline3/releases/tag/jline-3.30.14
- https://github.com/jline/jline3/security/advisories/GHSA-47qp-hqvx-6r3f
Exposure of private personal information to an unauthorized actor in Windows RDP allows an unauthorized attacker to disclose information over a network.
Feathersjs is a framework for creating web APIs and real-time applications with TypeScript or JavaScript. In 5.0.44 and earlier, the _.merge(target, source) utility exported by @feathersjs/commons recursively merges source into target by iterating Object.keys(source). When source was produced by JSON.parse and contains a __proto__, constructor, or prototype key, that key is returned as an own-enumerable property; the recursive merge then resolves target['__proto__'] to Object.prototype and writes attacker-supplied properties onto it, polluting the prototype for all plain objects in the process for the lifetime of the Node process. This issue is fixed in version 5.0.45.