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Analyze » Atlassian » ATL1776868681

Incident Score: Analysis & Impact (ATL1776868681)

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 Incident739 / 1000
Company Score After Incident735 / 1000
INCIDENT NUMBERATL1776868681
Type of Cyber IncidentVulnerability
ATTACK VECTORRemote
DATA EXPOSEDSensitive data
INCIDENT DATE20/04/2026
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 ATL1776868681.

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 739 and after the incident was 735 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 21 April 2026, Atlassian Bamboo Data Center and Server disclosed OS Command Injection issues under the banner "Critical OS Command Injection Flaw in Atlassian Bamboo Puts CI/CD Pipelines at Risk".

Atlassian disclosed a critical security vulnerability (CVE-2026-21571) in Bamboo Data Center and Server, allowing remote attackers to execute arbitrary operating system commands.

The disruption is felt across the environment, affecting CI/CD pipelines, Bamboo Data Center and Server, and exposing Sensitive data.

In response, moved swiftly to contain the threat with measures like Patches released (versions 12.1.6 (LTS), 10.2.18 (LTS), and 9.6.25), and began remediation that includes Upgrade to patched versions; monitor authentication logs; audit CI/CD pipelines for unauthorized changes.

The case underscores how and recommending next steps like Upgrade to patched versions (12.1.6 (LTS), 10.2.18 (LTS), or 9.6.25); monitor authentication logs; audit CI/CD pipelines for unauthorized changes.

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 (90%), with evidence including critical OS Command Injection Flaw in Atlassian Bamboo, and remote attackers to execute arbitrary OS commands. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with high confidence (95%), with evidence including execute arbitrary operating system commands, and inject malicious code into CI/CD pipelines. Under the Persistence tactic, the analysis identified Server Software Component: Web Shell (T1505.003) with moderate to high confidence (70%), with evidence including inject malicious code into CI/CD pipelines, and compromising software supply chains. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), with evidence including low-level authentication required, and arbitrary OS command execution. Under the Defense Evasion tactic, the analysis identified Exploitation for Defense Evasion (T1211) with moderate to high confidence (80%), with evidence including third-party dependency vulnerability, and no user interaction required. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), with evidence including low-level authentication required, and monitoring authentication logs advised. Under the Lateral Movement tactic, the analysis identified Remote Services: SSH (T1021.004) with moderate to high confidence (70%), with evidence including cI/CD pipelines at risk, and disrupting system operations. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), with evidence including accessing sensitive data, and cI/CD pipelines compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), with evidence including sensitive data at risk, and software supply chains compromised. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (80%), with evidence including disrupting system operations, and cI/CD pipelines at risk and Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate to high confidence (70%), with evidence including disrupting system operations, and arbitrary OS command execution. 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 (90%)
Execution
Command and Scripting Interpreter (95%)
Persistence
Server Software Component: Web Shell (70%)
Privilege Escalation
Exploitation for Privilege Escalation (80%)
Defense Evasion
Exploitation for Defense Evasion (80%)
Credential Access
Brute Force: Password Guessing (60%)
Lateral Movement
Remote Services: SSH (70%)
Collection
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Resource Hijacking (80%)
Endpoint Denial of Service: Application or System Exploitation (70%)

Sources & References