Comparison Overview
St. Petersburg College

St. Petersburg College
6021 142nd Ave N, Pinellas County, 33760, US
Last Update: 07/05/2026
St. Petersburg College (SPC) puts your dreams within reach and offers a foundation for achievement and success. We offer a wide range of options to meet your education needs at 10 learning sites in Pinellas County, FL. If you want to develop new job skills, advance your...

University of California, San Francisco
530 Parnassus Ave, San Francisco, California, US, 94122
Last Update: 01/04/2026
UC San Francisco is driven by the idea that when the best research, the best education and the best patient care converge, great breakthroughs are achieved. We pursue this integrated excellence with singular focus, fueled by collaboration among our top-ranked profession...
Compliance Ranges Comparison

St. Petersburg College







University of California, San Francisco






Benchmark & Cyber Underwriting Signals
Incidents vs Higher Education Industry Avg (This Year)
St. Petersburg College has 40.83% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for University of California, San Francisco in 2026.
Incident History - St. Petersburg College (X = Date, Y = Severity)
St. Petersburg College cyber incidents detection timeline including parent company and subsidiaries.
Incident History - University of California, San Francisco (X = Date, Y = Severity)
University of California, San Francisco cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

St. Petersburg College

University of California, San Francisco
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.