Incident Score: Analysis & Impact (KIM1784528630)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Kimai'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 Kimai 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 Kimai breach identified under incident ID KIM1784528630.
The analysis begins with a detailed overview of Kimai's information like the linkedin page: https://www.linkedin.com/company/kimai-org, the number of followers: 174, the industry type: IT Services and IT Consulting and the number of employees: 2 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 749 and after the incident was 747 with a difference of -2 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 Kimai and their customers.
On 11 June 2024, Kimai disclosed Vulnerability Exploitation issues under the banner "Critical Kimai Docker Vulnerability Exposes Deployments to Account Takeover (CVE-2026-52824)".
A critical vulnerability in Kimai’s official Docker image, tracked as CVE-2026-52824 (GHSA-jr9p-4h4j-6c58), exposes installations to account takeover risks due to a publicly known default cryptographic secret.
The disruption is felt across the environment, affecting Kimai Docker deployments (versions 2.57.0 and earlier), and exposing Authentication tokens, CSRF tokens, password-reset URLs, LoginLink signatures.
In response, moved swiftly to contain the threat with measures like Upgrade to Kimai 2.58.0 or later, explicitly set a strong `APP_SECRET`, rotate secrets on potentially compromised instances, and began remediation that includes Automatic generation of a random `APP_SECRET`, removal of insecure default from Dockerfile, updated documentation, while recovery efforts such as Invalidate active sessions, review admin accounts, enable 2FA, restrict public access to Kimai instances continue.
The case underscores how Patched, teams are taking away lessons such as Hardcoded secrets in production images pose significant risks. Secure initialization of cryptographic secrets must be enforced, and default configurations should not be relied upon in production environments, and recommending next steps like Upgrade to Kimai 2.58.0 or later, Explicitly set a strong, unique `APP_SECRET` and Rotate secrets on potentially compromised instances.
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 (90%), supported by evidence indicating forge authentication tokens and impersonate users, including super_admin accounts and Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating critical Kimai Docker Vulnerability Exposes Deployments to Account Takeover. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Cloud Instance Metadata API (T1552.005) with moderate to high confidence (70%), supported by evidence indicating insecure default configuration where the environment variable `APP_SECRET=change_this_to_something_unique` and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating hardcoded secrets in production images without enforcement of secure initialization. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating impersonate users, including super_admin accounts. Under the Defense Evasion tactic, the analysis identified Subvert Trust Controls: Code Signing (T1553.002) with moderate to high confidence (70%), supported by evidence indicating forge authentication tokens and impersonate users using predictable secret. Under the Impact tactic, the analysis identified Account Access Removal (T1531) with moderate confidence (60%), supported by evidence indicating invalidate active sessions, review admin accounts and Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate confidence (50%), supported by evidence indicating account takeover, unauthorized access to admin accounts. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Kimai Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/kimai-org/incident/KIM1784528630
- Kimai CyberSecurity Rating page: https://www.rankiteo.com/company/kimai-org
- Kimai Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/kim1784528630-kimai-vulnerability-june-2026/
- Kimai CyberSecurity Score History: https://www.rankiteo.com/company/kimai-org/history
- Kimai CyberSecurity Incident Source: https://gbhackers.com/kimai-docker-vulnerability-exposes-default-app_secret/
- 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