Incident Score: Analysis & Impact (DELOPETATAPPCELCOU1782491615)
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 Cellebrite'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 Cellebrite 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 Cellebrite breach identified under incident ID DELOPETATAPPCELCOU1782491615.
The analysis begins with a detailed overview of Cellebrite's information like the linkedin page: https://www.linkedin.com/company/cellebrite, the number of followers: 100903, the industry type: Public Safety and the number of employees: 1274 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 672 and after the incident was 576 with a difference of -96 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 Cellebrite and their customers.
Andrey Pivovarov recently reported "Cybersecurity Roundup: Key Threats, Breaches, and Industry Shifts", a noteworthy cybersecurity incident.
This week’s cybersecurity landscape saw significant developments across state-sponsored attacks, corporate breaches, regulatory interventions, and emerging AI-driven threats.
The disruption is felt across the environment, affecting Transport for London fare refund systems, Administrative networks and macOS systems, and exposing 630 GB of proprietary data (Tata Electronics), Telegram and WhatsApp data (Andrey Pivovarov) and Apple and Tesla manufacturing schematics, plus an estimated financial loss of Millions in remediation costs (Transport for London).
In response, and began remediation that includes Apple patched Beats eavesdropping flaw.
The case underscores how and recommending next steps like Adopt zero-trust architectures, Expedite patching and Decommission legacy systems, with advisories going out to stakeholders covering Five Eyes advisory on AI-driven threats.
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 high confidence (90%), with evidence including 630 GB of proprietary data leaked via dark web (Tata Electronics), and cellebrite software exploited by Russian authorities, Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating cellebrite software exploitation for iPhone data extraction, and Phishing (T1566) with moderate to high confidence (80%), supported by evidence indicating coldRiver phishing campaigns against Pivovarov’s associates. Under the Execution tactic, the analysis identified User Execution (T1204) with moderate confidence (60%), supported by evidence indicating scattered Spider hacking group breached Transport for London and Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating macOS.Gaslight backdoor provides interactive shell. Under the Persistence tactic, the analysis identified Boot or Logon Autostart Execution (T1547) with moderate confidence (60%), supported by evidence indicating macOS.Gaslight backdoor deployed on macOS systems. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating cellebrite software exploited to extract iPhone data. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (80%), supported by evidence indicating macOS.Gaslight uses adversarial prompt injection to evade LLM-assisted triage and Masquerading (T1036) with moderate to high confidence (70%), supported by evidence indicating macOS.Gaslight deploys deceptive error messages. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating cellebrite software extracted Telegram and WhatsApp data from iPhone and Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating 28,000 Transport for London employees forced to reset passwords. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating scattered Spider targeted administrative networks. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 630 GB of proprietary data (Tata Electronics), Apple/Tesla schematics and Email Collection (T1114) with moderate to high confidence (70%), supported by evidence indicating telegram and WhatsApp data harvested from iPhone. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating macOS.Gaslight backdoor provides interactive shell. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 630 GB of data leaked via dark web (Tata Electronics) and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data sold on dark web (Tata Electronics breach). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating scattered Spider disrupted fare refund systems and Defacement (T1491) with lower confidence (40%), supported by evidence indicating administrative networks disrupted (Transport for London). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Cellebrite Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/cellebrite/incident/DELOPETATAPPCELCOU1782491615
- Cellebrite CyberSecurity Rating page: https://www.rankiteo.com/company/cellebrite
- Cellebrite Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/delopetatappcelcou1782491615-tata-electronics-cellebrite-apple-openai-delta-coupang-breach-january-2025/
- Cellebrite CyberSecurity Score History: https://www.rankiteo.com/company/cellebrite/history
- Cellebrite CyberSecurity Incident Source: https://www.securityweek.com/in-other-news-chinese-mythos-like-ai-tata-electronics-breach-snyk-layoffs/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf