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Comparison Overview

Data Science ImperialData Science Imperial
VS
USP - Universidade de São PauloUSP - Universidade de São Paulo
Data Science Imperial

Data Science Imperial

London, GB

Last Update: 27/05/2026

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771/1000Fair

Data Science Institute at Imperial College London, posting about data science and big data developments in London and worldwide.

NAICS:6113
NAICS Definition:Colleges, Universities, and Professional Schools
Employees:None
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
0
USP - Universidade de São Paulo

USP - Universidade de São Paulo

Rua da Reitoria, 109, Cidade Universitária, São Paulo, São Paulo, BR, 05508-900

Last Update: 29/03/2026

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Between 800 and 849
http://www.usp.br/
818/1000Good

A Universidade de São Paulo (USP) é uma universidade pública, mantida pelo Estado de São Paulo e ligada à Secretaria de Desenvolvimento Econômico, Ciência, Tecnologia e Inovação (SDECTI). O talento e dedicação dos docentes, alunos e funcionários têm sido reconhecidos po...

NAICS:6113
NAICS Definition:Colleges, Universities, and Professional Schools
Employees:22,604
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Data Science Imperial

Data Science Imperial

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA
USP - Universidade de São Paulo

USP - Universidade de São Paulo

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA

Benchmark & Cyber Underwriting Signals

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for Data Science Imperial in 2026.

Incidents

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for USP - Universidade de São Paulo in 2026.

Incidents

Incident History - Data Science Imperial (X = Date, Y = Severity)

Data Science Imperial cyber incidents detection timeline including parent company and subsidiaries.

No timeline data available
R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Incident History - USP - Universidade de São Paulo (X = Date, Y = Severity)

USP - Universidade de São Paulo cyber incidents detection timeline including parent company and subsidiaries.

No timeline data available
R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Notable Incidents

Last Cyber / HR Incidents / Global...
Data Science Imperial

Data Science Imperial

Incidents
No explicit notable incidents reported.
USP - Universidade de São Paulo

USP - Universidade de São Paulo

Incidents
No explicit notable incidents reported.

FAQ

Between Data Science Imperial company and USP - Universidade de São Paulo company, which one has the best AI Cybersecurity Score ?
Between Data Science Imperial company and USP - Universidade de São Paulo company, which one has experienced more cyber incidents in the past ?
Between Data Science Imperial company and USP - Universidade de São Paulo company, which one has experienced more cyber incidents this year ?
Between Data Science Imperial company and USP - Universidade de São Paulo company, which one has experienced at least one ransomware attack ?
Between Data Science Imperial company and USP - Universidade de São Paulo company, which one has experienced at least one data breach ?
Between Data Science Imperial company and USP - Universidade de São Paulo company, which one has experienced at least one targeted cyberattack ?
Between Data Science Imperial company and USP - Universidade de São Paulo company, which one has experienced at least one vulnerability ?
Between Data Science Imperial company and USP - Universidade de São Paulo company, which one holds the most compliance certifications ?
Between Data Science Imperial company and USP - Universidade de São Paulo company, which one holds the fewest compliance certifications ?
Between Data Science Imperial company and USP - Universidade de São Paulo company, which one has the most subsidiaries ?
Between Data Science Imperial company and USP - Universidade de São Paulo company, which one has the largest number of employees ?
Between Data Science Imperial and USP - Universidade de São Paulo, which company holds both SOC 2 Type 1 certifications ?
Between Data Science Imperial and USP - Universidade de São Paulo, which company holds both SOC 2 Type 2 certifications ?
Which company is ISO 27001 certified - Data Science Imperial or USP - Universidade de São Paulo ?
Which company is PCI DSS compliant - Data Science Imperial or USP - Universidade de São Paulo ?
Between Data Science Imperial and USP - Universidade de São Paulo, which company complies with HIPAA regulations for healthcare data ?
Between Data Science Imperial and USP - Universidade de São Paulo, which company complies with GDPR requirements ?

Latest Global CVEs

CVE-2026-57980
SUMMARY

Authentication bypass using an alternate path or channel in Microsoft Edge (Chromium-based) allows an unauthorized attacker to perform tampering over a network.

PUBLISHED
Date2026-07-17
UPDATED
Date2026-07-17
RISK INFORMATION (Score: 5.4)
CVSS3
Base Score: 5.4
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N
IMPACT SCORE
2.5
EXPLOITABILITY
2.8
CVE-2026-56741
SUMMARY

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.

PUBLISHED
Date2026-07-17
UPDATED
Date2026-07-17
RISK INFORMATION (Score: 7.5)
CVSS3
Base Score: 7.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
3.9
CVE-2026-56740
SUMMARY

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.

PUBLISHED
Date2026-07-17
UPDATED
Date2026-07-17
RISK INFORMATION (Score: 7.5)
CVSS3
Base Score: 7.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
3.9
CVE-2026-56171
SUMMARY

Exposure of private personal information to an unauthorized actor in Windows RDP allows an unauthorized attacker to disclose information over a network.

PUBLISHED
Date2026-07-17
UPDATED
Date2026-07-17
RISK INFORMATION (Score: 7.1)
CVSS3
Base Score: 7.1
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N
IMPACT SCORE
4.2
EXPLOITABILITY
2.8
CVE-2026-54335
SUMMARY

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.

PUBLISHED
Date2026-07-17
UPDATED
Date2026-07-17
RISK INFORMATION (Score: 3.7)
CVSS3
Base Score: 3.7
Complexity: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.2