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Analyze » The Apache Software Foundation » THE1789547025

Incident Score: Analysis & Impact (THE1789547025)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-5
Company Score Before Incident598 / 1000
Company Score After Incident593 / 1000
Company LinkView The Apache Software Foundation Profile
INCIDENT NUMBERTHE1789547025
Type of Cyber IncidentVulnerability
ATTACK VECTORAuthenticated user manipulation of `sqlExpression` and `where` parameters
DATA EXPOSEDDatabase structure, table names, column...
INCIDENT DATE23/02/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of The Apache Software Foundation'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 The Apache Software Foundation 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 The Apache Software Foundation breach identified under incident ID THE1789547025.

The analysis begins with a detailed overview of The Apache Software Foundation's information like the linkedin page: https://www.linkedin.com/company/the-apache-software-foundation, the number of followers: 83098, the industry type: Software Development and the number of employees: 2496 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 598 and after the incident was 593 with a difference of -5 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 The Apache Software Foundation and their customers.

On 24 February 2026, Apache Superset disclosed SQL Injection issues under the banner "Public PoC Exploit Released for Critical Apache Superset SQL Injection Flaw (CVE-2026-23980)".

A proof-of-concept (PoC) exploit has been made public for CVE-2026-23980, a high-severity SQL injection vulnerability in Apache Superset versions prior to 6.0.0.

The disruption is felt across the environment, affecting Apache Superset instances (versions < 6.0.0), and exposing Database structure, table names, column data, and sensitive details.

In response, moved swiftly to contain the threat with measures like Upgrade to Apache Superset version 6.0.0, and began remediation that includes Review user permissions, monitor logs for suspicious activity.

The case underscores how and recommending next steps like Identify all Superset instances, verify installed versions, prioritize upgrades, review user permissions, and monitor logs for suspicious activity.

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 to high confidence (80%), supported by evidence indicating high-severity SQL injection vulnerability in Apache Superset. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: Python (T1059.007) with moderate to high confidence (70%), supported by evidence indicating python-based PoC exploit (exploit.py) published. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating extract sensitive details such as database structure, table names. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating extract sensitive details such as database structure, column data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating potentially facilitating further unauthorized access or data inference. Under the Defense Evasion tactic, the analysis identified Scripting (T1064) with moderate to high confidence (70%), supported by evidence indicating python-based PoC exploit (exploit.py) published and Indirect Command Execution (T1202) with moderate confidence (60%), supported by evidence indicating manipulating the `sqlExpression` and `where` parameters. 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 (80%)
Execution
Command and Scripting Interpreter: Python (70%)
Credential Access
Unsecured Credentials: Credentials In Files (60%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (50%)
Defense Evasion
Scripting (70%)
Indirect Command Execution (60%)

Sources & References