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The University of Pittsburgh is a top-ranked, public institution in Pennsylvania and a member of the Association of American Universities of leading research universities. With our discoveries, we are recognized as one of the most innovative universities in the world. We invent the paths of the future and forge ahead. Pitt is a member of the Association of American Universities (AAU), which comprises 62 preeminent doctorate-granting research institutions in North America.

University of Pittsburgh A.I CyberSecurity Scoring

UP

Company Details

Linkedin ID:

university-of-pittsburgh

Employees number:

19,115

Number of followers:

312,508

NAICS:

6113

Industry Type:

Higher Education

Homepage:

pitt.edu

IP Addresses:

363

Company ID:

UNI_4838342

Scan Status:

Completed

AI scoreUP Risk Score (AI oriented)

Between 750 and 799

https://images.rankiteo.com/companyimages/university-of-pittsburgh.jpeg
UP Higher Education
Updated:
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globalscoreUP Global Score (TPRM)

XXXX

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UP Higher Education
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UP Company CyberSecurity News & History

Past Incidents
1
Attack Types
1
EntityTypeSeverityImpactSeenBlog DetailsIncident DetailsView
University of PittsburghData Leak50210/2019
Rankiteo Explanation :
Attack limited on finance or reputation

Description: An administrator unintentionally linked a spreadsheet with financial information that was not meant for the recipients in an email sent to students at the University of Pittsburgh Graduate School of Public Health informing them of outstanding amounts. The Excel spreadsheet that was distributed to seven students on September 24 included information about the tuition for 38 students, including the seven receivers. Despite the fact that no Social Security or banking details were provided Students who unintentionally downloaded the attachment were told to delete the email from their user accounts, devices, and email trash.

University of Pittsburgh
Data Leak
Severity: 50
Impact: 2
Seen: 10/2019
Blog:
Rankiteo Explanation
Attack limited on finance or reputation

Description: An administrator unintentionally linked a spreadsheet with financial information that was not meant for the recipients in an email sent to students at the University of Pittsburgh Graduate School of Public Health informing them of outstanding amounts. The Excel spreadsheet that was distributed to seven students on September 24 included information about the tuition for 38 students, including the seven receivers. Despite the fact that no Social Security or banking details were provided Students who unintentionally downloaded the attachment were told to delete the email from their user accounts, devices, and email trash.

Ailogo

UP Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

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Incident Predictions locked
Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

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A.I. Risk Score Predictions locked
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statics

Underwriter Stats for UP

Incidents vs Higher Education Industry Average (This Year)

No incidents recorded for University of Pittsburgh in 2025.

Incidents vs All-Companies Average (This Year)

No incidents recorded for University of Pittsburgh in 2025.

Incident Types UP vs Higher Education Industry Avg (This Year)

No incidents recorded for University of Pittsburgh in 2025.

Incident History — UP (X = Date, Y = Severity)

UP cyber incidents detection timeline including parent company and subsidiaries

UP Company Subsidiaries

SubsidiaryImage

The University of Pittsburgh is a top-ranked, public institution in Pennsylvania and a member of the Association of American Universities of leading research universities. With our discoveries, we are recognized as one of the most innovative universities in the world. We invent the paths of the future and forge ahead. Pitt is a member of the Association of American Universities (AAU), which comprises 62 preeminent doctorate-granting research institutions in North America.

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UP CyberSecurity News

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November 04, 2025 05:46 PM
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October 26, 2025 07:00 AM
Pitt-Greensburg cybersecurity program receives national recognition

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faq

Frequently Asked Questions

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.

UP CyberSecurity History Information

Official Website of University of Pittsburgh

The official website of University of Pittsburgh is https://www.pitt.edu/pittwire.

University of Pittsburgh’s AI-Generated Cybersecurity Score

According to Rankiteo, University of Pittsburgh’s AI-generated cybersecurity score is 789, reflecting their Fair security posture.

How many security badges does University of Pittsburgh’ have ?

According to Rankiteo, University of Pittsburgh currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Does University of Pittsburgh have SOC 2 Type 1 certification ?

According to Rankiteo, University of Pittsburgh is not certified under SOC 2 Type 1.

Does University of Pittsburgh have SOC 2 Type 2 certification ?

According to Rankiteo, University of Pittsburgh does not hold a SOC 2 Type 2 certification.

Does University of Pittsburgh comply with GDPR ?

According to Rankiteo, University of Pittsburgh is not listed as GDPR compliant.

Does University of Pittsburgh have PCI DSS certification ?

According to Rankiteo, University of Pittsburgh does not currently maintain PCI DSS compliance.

Does University of Pittsburgh comply with HIPAA ?

According to Rankiteo, University of Pittsburgh is not compliant with HIPAA regulations.

Does University of Pittsburgh have ISO 27001 certification ?

According to Rankiteo,University of Pittsburgh is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Industry Classification of University of Pittsburgh

University of Pittsburgh operates primarily in the Higher Education industry.

Number of Employees at University of Pittsburgh

University of Pittsburgh employs approximately 19,115 people worldwide.

Subsidiaries Owned by University of Pittsburgh

University of Pittsburgh presently has no subsidiaries across any sectors.

University of Pittsburgh’s LinkedIn Followers

University of Pittsburgh’s official LinkedIn profile has approximately 312,508 followers.

NAICS Classification of University of Pittsburgh

University of Pittsburgh is classified under the NAICS code 6113, which corresponds to Colleges, Universities, and Professional Schools.

University of Pittsburgh’s Presence on Crunchbase

No, University of Pittsburgh does not have a profile on Crunchbase.

University of Pittsburgh’s Presence on LinkedIn

Yes, University of Pittsburgh maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/university-of-pittsburgh.

Cybersecurity Incidents Involving University of Pittsburgh

As of November 27, 2025, Rankiteo reports that University of Pittsburgh has experienced 1 cybersecurity incidents.

Number of Peer and Competitor Companies

University of Pittsburgh has an estimated 14,032 peer or competitor companies worldwide.

What types of cybersecurity incidents have occurred at University of Pittsburgh ?

Incident Types: The types of cybersecurity incidents that have occurred include Data Leak.

How does University of Pittsburgh detect and respond to cybersecurity incidents ?

Detection and Response: The company detects and responds to cybersecurity incidents through an containment measures with informed students to delete the email from their user accounts, devices, and email trash..

Incident Details

Can you provide details on each incident ?

Incident : Data Leak

Title: Unintentional Data Leak at University of Pittsburgh Graduate School of Public Health

Description: An administrator unintentionally linked a spreadsheet with financial information that was not meant for the recipients in an email sent to students at the University of Pittsburgh Graduate School of Public Health informing them of outstanding amounts.

Date Detected: 2023-09-24

Type: Data Leak

Attack Vector: Email

Vulnerability Exploited: Human Error

Threat Actor: Internal (Unintentional)

Motivation: Accidental

What are the most common types of attacks the company has faced ?

Common Attack Types: The most common types of attacks the company has faced is Data Leak.

Impact of the Incidents

What was the impact of each incident ?

Incident : Data Leak UNI3617423

Data Compromised: Financial information, Tuition details

What types of data are most commonly compromised in incidents ?

Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Financial Information.

Which entities were affected by each incident ?

Incident : Data Leak UNI3617423

Entity Name: University of Pittsburgh Graduate School of Public Health

Entity Type: Educational Institution

Industry: Education

Location: Pittsburgh, PA

Customers Affected: 38 students

Response to the Incidents

What measures were taken in response to each incident ?

Incident : Data Leak UNI3617423

Containment Measures: Informed students to delete the email from their user accounts, devices, and email trash

Data Breach Information

What type of data was compromised in each breach ?

Incident : Data Leak UNI3617423

Type of Data Compromised: Financial Information

Number of Records Exposed: 38

Sensitivity of Data: Medium

File Types Exposed: Excel Spreadsheet

How does the company handle incidents involving personally identifiable information (PII) ?

Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through by informed students to delete the email from their user accounts, devices, and email trash and .

Post-Incident Analysis

What were the root causes and corrective actions taken for each incident ?

Incident : Data Leak UNI3617423

Root Causes: Human Error

Additional Questions

General Information

Who was the attacking group in the last incident ?

Last Attacking Group: The attacking group in the last incident was an Internal (Unintentional).

Incident Details

What was the most recent incident detected ?

Most Recent Incident Detected: The most recent incident detected was on 2023-09-24.

Impact of the Incidents

What was the most significant data compromised in an incident ?

Most Significant Data Compromised: The most significant data compromised in an incident were Financial Information, Tuition Details and .

Response to the Incidents

What containment measures were taken in the most recent incident ?

Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were Informed students to delete the email from their user accounts, devices and and email trash.

Data Breach Information

What was the most sensitive data compromised in a breach ?

Most Sensitive Data Compromised: The most sensitive data compromised in a breach were Financial Information and Tuition Details.

What was the number of records exposed in the most significant breach ?

Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 38.0.

cve

Latest Global CVEs (Not Company-Specific)

Description

Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.

Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.

Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.

Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description

Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

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Digital Assets

Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.

These are some of the factors we use to calculate the overall score:

Network Security

Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.

SBOM (Software Bill of Materials)

Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.

CMDB (Configuration Management Database)

Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.

Threat Intelligence

Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.

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