Incident Score: Analysis & Impact (IAB1789655313)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of IAB Tech Lab's Breach 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 IAB Tech Lab 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 IAB Tech Lab breach identified under incident ID IAB1789655313.
The analysis begins with a detailed overview of IAB Tech Lab's information like the linkedin page: https://www.linkedin.com/company/iabtechlab, the number of followers: 11790, the industry type: Technology, Information and Internet and the number of employees: 113 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 767 and after the incident was 696 with a difference of -71 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 IAB Tech Lab and their customers.
IAB Europe Transparency and Consent Framework (TCF) linked entities recently reported "Massive Exposure of Technical Identifiers Highlights Privacy Risks in Digital Tracking", a noteworthy cybersecurity incident.
A recent investigation has revealed a significant leak of technical identifiers (unique digital markers used to track users across devices and platforms, including browser cookies, device IDs, hashed email addresses, and IP addresses) collected by websites and advertisers.
The disruption is felt across the environment, and exposing Technical identifiers (browser cookies, device IDs, hashed email addresses, IP addresses).
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Challenges in balancing personalized services with user privacy, and the risks of opaque online tracking, and recommending next steps like Improve transparency in digital tracking, enhance user control over data collection, and strengthen security measures for technical identifiers.
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 (T1195) with moderate confidence (60%), supported by evidence indicating breach involves over 252 entities linked to the IAB Europe TCF and Trusted Relationship (T1199) with moderate to high confidence (70%), supported by evidence indicating entities linked to the IAB Europe Transparency and Consent Framework. Under the Credential Access tactic, the analysis identified Steal Web Session Cookie (T1539) with moderate to high confidence (80%), supported by evidence indicating browser cookies...exposure raises concerns about potential misuse and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating technical identifiers...collected by websites and advertisers. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating browser cookies, device IDs, hashed email addresses, and IP addresses and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating technical identifiers...collected by websites and advertisers. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating significant leak of technical identifiers and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating entities linked to digital advertising and analytics companies. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating potential misuse, including unauthorized tracking and Stored Data Manipulation: Transmitted Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating identity correlation by malicious actors. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.