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Analyze » Perplexity » OPEBRAPER1781289020

Incident Score: Analysis & Impact (OPEBRAPER1781289020)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-4
Company Score Before Incident738 / 1000
Company Score After Incident734 / 1000
INCIDENT NUMBEROPEBRAPER1781289020
Type of Cyber IncidentVulnerability
ATTACK VECTORMalicious prompts in web pages/emails/documents, Shadow AI, Third-party API integrations (MCP supply chain attacks)
DATA EXPOSEDBank account details, Emails, Cloud...
INCIDENT DATE30/09/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Perplexity's Vulnerability and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Perplexity Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Perplexity breach identified under incident ID OPEBRAPER1781289020.

The analysis begins with a detailed overview of Perplexity's information like the linkedin page: https://www.linkedin.com/company/perplexity-ai, the number of followers: 1361092, the industry type: Software Development and the number of employees: 1622 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 738 and after the incident was 734 with a difference of -4 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Perplexity and their customers.

Perplexity recently reported "AI-Powered Browsers Introduce New Enterprise Security Risks", a noteworthy cybersecurity incident.

Security researchers have uncovered vulnerabilities in AI-powered browsers and assistants, exposing enterprises to heightened risks of data breaches and unauthorized access.

The disruption is felt across the environment, affecting AI-powered browsers/assistants, Enterprise cloud storage and Third-party tracking systems, and exposing Bank account details, Emails and Cloud storage data.

In response, moved swiftly to contain the threat with measures like Isolating agentic AI capabilities from routine browsing and Runtime security for prompt monitoring, and began remediation that includes Enterprise-grade AI browsers with security controls and Step-up MFA and human approval for sensitive actions.

The case underscores how teams are taking away lessons such as AI-powered browsers introduce new attack surfaces like prompt injection and shadow AI, requiring stricter governance, visibility, and security controls. Traditional security tools may not detect these threats, necessitating specialized defenses like runtime security and defensive AI agents, and recommending next steps like Isolate agentic AI capabilities from routine browsing, Adopt enterprise-grade AI browsers with runtime security and Implement step-up MFA and human approval for sensitive actions, with advisories going out to stakeholders covering CISOs advised to block AI browsers with agentic capabilities until enterprise-ready alternatives emerge due to privacy and security risks.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), supported by evidence indicating mCP supply chain attacks introduce new attack vectors through third-party API integrations and Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (70%), supported by evidence indicating malicious instructions embedded in web pages, emails, or documents trick AI agents. Under the Execution tactic, the analysis identified User Execution: Malicious Link (T1204.001) with moderate to high confidence (70%), supported by evidence indicating prompt injection attacks...trick AI agents into executing unintended commands and Command and Scripting Interpreter: JavaScript (T1059.007) with moderate confidence (60%), supported by evidence indicating malicious instructions embedded in web pages...bypassing security guardrails. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating aI agents often operate with excessive permissions, violating least privilege and Abuse Elevation Control Mechanism: Bypass User Account Control (T1548.002) with moderate confidence (60%), supported by evidence indicating prompt injection attacks...bypassing security guardrails. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating aI agents...potentially exposing sensitive data like bank accounts, emails. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating collect and share personal and sensitive information with...third-party trackers and Automated Collection (T1119) with moderate to high confidence (80%), supported by evidence indicating generative AI browser assistants collect and share...sensitive information. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration...via third-party tracking systems like Google Analytics and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating cloud-stored browsing data and third-party tracking. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating prompt injection attacks...undetected by conventional security tools and Masquerading: Match Legitimate Name or Location (T1036.005) with moderate confidence (60%), supported by evidence indicating malicious instructions embedded in web pages, emails, or documents. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating unauthorized access...could lead to data manipulation or deletion and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating prompt injection attacks manipulate AI agents into leaking data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise: Compromise Software Supply Chain (80%)
Phishing: Spearphishing Attachment (70%)
Execution
User Execution: Malicious Link (70%)
Command and Scripting Interpreter: JavaScript (60%)
Privilege Escalation
Valid Accounts (80%)
Abuse Elevation Control Mechanism: Bypass User Account Control (60%)
Credential Access
Steal Application Access Token (70%)
Collection
Data from Local System (90%)
Automated Collection (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (70%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (70%)
Masquerading: Match Legitimate Name or Location (60%)
Impact
Data Destruction (40%)
Data Manipulation: Stored Data Manipulation (50%)