Incident Score: Analysis & Impact (CRRTESAUS1767704662)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Tesseract Intelligence'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 Tesseract Intelligence 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 Tesseract Intelligence breach identified under incident ID CRRTESAUS1767704662.
The analysis begins with a detailed overview of Tesseract Intelligence's information like the linkedin page: https://www.linkedin.com/company/tesseract-intelligence, the number of followers: 5956, the industry type: Computer and Network Security and the number of employees: 14 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 595 and after the incident was 529 with a difference of -66 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 Tesseract Intelligence and their customers.
Iberia recently reported "Zestix/Sentap Initial Access Broker Campaign", a noteworthy cybersecurity incident.
Several major data breaches linked to a threat actor using stolen credentials to compromise enterprise networks.
The disruption is felt across the environment, affecting ShareFile, OwnCloud and Nextcloud, and exposing 77 GB (Iberia), 1.04 TB (Pan-Pacific Mechanical), 1.02 TB (Bradley R. Tyer & Associates), 1 TB (The Providence Group), 306 GB (Australian NBN), 275 GB (UrbanX.io), and others.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing, teams are taking away lessons such as Lack of MFA on critical services (e.g., ShareFile, OwnCloud, Nextcloud) enables credential-based attacks. Information stealers remain a persistent threat, with stolen credentials circulating for years before exploitation, and recommending next steps like Enforce multi-factor authentication (MFA) on all critical services and accounts, Monitor for infostealer infections on employee devices (personal and work) and Implement network segmentation to limit lateral movement.
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 Valid Accounts (T1078) with high confidence (95%), supported by evidence indicating exploiting credentials harvested from information stealers like RedLine, Lumma, and Vidar and Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating credentials used to breach file-transfer services such as ShareFile, OwnCloud, and Nextcloud. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with high confidence (90%), supported by evidence indicating credentials harvested from information stealers (RedLine, Lumma, Vidar) and Adversary-in-the-Middle (T1557) with moderate to high confidence (70%), supported by evidence indicating infostealer malware-as-a-service (MaaS) enabling credential theft. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (85%), supported by evidence indicating stolen credentials lingering in logs for years before exploitation. Under the Lateral Movement tactic, the analysis identified Remote Services (T1021) with moderate to high confidence (80%), supported by evidence indicating credentials used to infiltrate enterprise networks via file-transfer services. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating data exfiltrated from ShareFile, OwnCloud, and Nextcloud repositories and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating 77 GB (Iberia), 1.04 TB (Pan-Pacific Mechanical) data compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltrated for sale on Russian-language hacker forums and Exfiltration Over Web Service (T1567) with moderate to high confidence (80%), supported by evidence indicating data sold on dark web or auctioned for initial access. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating potential ransomware deployment mentioned in operational impact and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high-risk sectors (aerospace, defense, healthcare) targeted. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (85%), supported by evidence indicating stolen credentials used to bypass authentication controls and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating infostealers self-delete after exfiltrating data, leaving minimal traces. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Tesseract Intelligence Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/tesseract-intelligence/incident/CRRTESAUS1767704662
- Tesseract Intelligence CyberSecurity Rating page: https://www.rankiteo.com/company/tesseract-intelligence
- Tesseract Intelligence Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/crrtesaus1767704662-breach-january-2026/
- Tesseract Intelligence CyberSecurity Score History: https://www.rankiteo.com/company/tesseract-intelligence/history
- Tesseract Intelligence CyberSecurity Incident Source: https://www.securityweek.com/dozens-of-major-data-breaches-linked-to-single-threat-actor/
- 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