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Analyze » Atlassian » ATL1773995178

Incident Score: Analysis & Impact (ATL1773995178)

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 Incident745 / 1000
Company Score After Incident741 / 1000
INCIDENT NUMBERATL1773995178
Type of Cyber IncidentVulnerability
ATTACK VECTORAuthenticated access with elevated privileges
DATA EXPOSEDSensitive build secrets, source code
INCIDENT DATE31/12/2025
STATUSpublished

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 ATL1773995178.

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: 2347080, the industry type: Software Development and the number of employees: 21511 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 745 and after the incident was 741 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.

Atlassian recently reported "Atlassian Patches High-Severity RCE Vulnerability in Bamboo Data Center", a noteworthy cybersecurity incident.

Atlassian has addressed a high-severity remote code execution (RCE) vulnerability, CVE-2026-21570, affecting its Bamboo Data Center application.

The disruption is felt across the environment, affecting Bamboo Data Center servers, and exposing Sensitive build secrets, source code.

In response, moved swiftly to contain the threat with measures like Patches released for affected versions, and began remediation that includes Upgrade to patched versions (9.6.24 or later, 10.2.16, 12.1.3 or later), and stakeholders are being briefed through Advisory urging administrators to upgrade immediately.

The case underscores how and recommending next steps like Upgrade to patched versions immediately to secure build infrastructure, with advisories going out to stakeholders covering Organizations running affected deployments are advised to apply updates.

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 moderate confidence (60%), supported by evidence indicating high-severity RCE vulnerability affecting Bamboo Data Center and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating authenticated attackers with elevated privileges to execute arbitrary code. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating remote code execution (RCE) vulnerability, CVE-2026-21570. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating authenticated attackers with elevated privileges to execute arbitrary code. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating exfiltrate sensitive build secrets. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating manipulate source code, exfiltrate sensitive build secrets. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating potential data exfiltration of sensitive build secrets. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating disrupt software development operations, Network Denial of Service (T1498) with moderate confidence (60%), supported by evidence indicating disruption of software development operations, and Supply Chain Compromise (T1195) with moderate to high confidence (80%), supported by evidence indicating potentially facilitating devastating supply chain attacks. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Valid Accounts (90%)
Execution
Exploitation for Client Execution (80%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Credential Access
Unsecured Credentials: Credentials In Files (80%)
Collection
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Resource Hijacking (70%)
Network Denial of Service (60%)
Supply Chain Compromise (80%)

Sources & References