Incident Score: Analysis & Impact (ATL1C-1789741437)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Atlassian'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 Atlassian 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 Atlassian breach identified under incident ID ATL1C-1789741437.
The analysis begins with a detailed overview of Atlassian's information like the linkedin page: https://www.linkedin.com/company/atlassian, the number of followers: 2601927, the industry type: Software Development and the number of employees: 16931 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 756 and after the incident was 752 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 Atlassian and their customers.
On 01 August 2026, a cybersecurity incident called "Feral Wolf Ransomware Campaign Exploits Exposed Business Software in Russian Organizations" came to light.
A recent ransomware campaign by the threat group Feral Wolf has targeted Russian organizations across retail, construction, manufacturing, and IT sectors from May to August 2026, leveraging exposed business software and weak server configurations to infiltrate corporate networks.
The disruption is felt across the environment, affecting Atlassian Confluence, 1C:Enterprise and PostgreSQL, and exposing True.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing, teams are taking away lessons such as The campaign highlights the risks of unpatched collaboration platforms, exposed database services, and weak authentication controls. Emphasizes the need for network segmentation, log monitoring, and rapid patching to disrupt multi-stage ransomware attacks, and recommending next steps like Patch management, Network segmentation and Log monitoring.
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 Exploit Public-Facing Application (T1190) with high confidence (95%), supported by evidence indicating exploited CVE-2023-22515 on publicly accessible Confluence server, Valid Accounts: Default Accounts (T1078.001) with moderate to high confidence (80%), supported by evidence indicating created an admin account to establish a foothold on Confluence, and External Remote Services (T1133) with moderate to high confidence (85%), supported by evidence indicating exploited misconfigured 1C such as Enterprise clusters and weak PostgreSQL credentials. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: PowerShell (T1059.001) with moderate to high confidence (80%), supported by evidence indicating used PowerShell scripts to erase forensic evidence and Exploitation for Client Execution (T1203) with moderate to high confidence (75%), supported by evidence indicating exploited debug modes in 1C such as Enterprise to execute arbitrary commands. Under the Persistence tactic, the analysis identified Create Account: Local Account (T1136.001) with moderate to high confidence (80%), supported by evidence indicating created an admin account on Confluence server and Server Software Component: Web Shell (T1505.003) with moderate to high confidence (70%), supported by evidence indicating deployed custom backdoors (MQTTDoor and MatrixDoor). Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating escalated access to underlying host via compromised PostgreSQL service and Abuse Elevation Control Mechanism: Bypass User Account Control (T1548.002) with moderate to high confidence (70%), supported by evidence indicating used PrintSpoofer64.exe for privilege escalation. Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with moderate to high confidence (80%), supported by evidence indicating used PowerShell scripts to erase forensic evidence, Obfuscated Files or Information (T1027) with moderate to high confidence (75%), supported by evidence indicating custom backdoors communicated via MQTT/Matrix protocols, and Protocol Tunneling (T1572) with moderate to high confidence (80%), supported by evidence indicating tunneled traffic through RDP sessions using proxy tools. Under the Credential Access tactic, the analysis identified OS Credential Dumping: LSASS Memory (T1003.001) with moderate to high confidence (85%), supported by evidence indicating extracted memory from Windows systems using legitimate utilities and Brute Force: Password Cracking (T1110.002) with moderate to high confidence (70%), supported by evidence indicating compromised PostgreSQL service with weak credentials. Under the Discovery tactic, the analysis identified Network Service Discovery (T1046) with moderate to high confidence (75%), supported by evidence indicating used fscan tool for network reconnaissance. Under the Lateral Movement tactic, the analysis identified Exploitation of Remote Services (T1210) with moderate to high confidence (85%), supported by evidence indicating moved laterally by compromising PostgreSQL service and Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (80%), supported by evidence indicating tunneled traffic through RDP sessions. Under the Command and Control tactic, the analysis identified Proxy: External Proxy (T1090.002) with moderate to high confidence (80%), supported by evidence indicating used proxy tools to tunnel traffic through RDP and Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (75%), supported by evidence indicating backdoors communicated via MQTT and Matrix protocols. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (95%), supported by evidence indicating deployed GenieLocker ransomware for data encryption. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Atlassian Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/atlassian/incident/ATL1C-1789741437
- Atlassian CyberSecurity Rating page: https://www.rankiteo.com/company/atlassian
- Atlassian Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/atl1c-1789741437-atlassian-1c-company-vulnerability-may-2026/
- Atlassian CyberSecurity Score History: https://www.rankiteo.com/company/atlassian/history
- Atlassian CyberSecurity Incident Source: https://cybersecuritynews.com/feral-wolf-ransomware/
- 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