Incident Score: Analysis & Impact (SPL1782735858)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Splunk'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 Splunk 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 Splunk breach identified under incident ID SPL1782735858.
The analysis begins with a detailed overview of Splunk's information like the linkedin page: https://www.linkedin.com/company/splunk, the number of followers: 797711, the industry type: Software Development and the number of employees: 8747 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 773 and after the incident was 761 with a difference of -12 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 Splunk and their customers.
Splunk recently reported "Critical RCE Vulnerability in Splunk Secure Gateway Exposes Enterprise Deployments", a noteworthy cybersecurity incident.
A newly disclosed high-severity vulnerability in Splunk Secure Gateway (SSG), tracked as CVE-2026-20251 (CVSS 8.8), enables low-privileged authenticated users to execute arbitrary code remotely on affected systems.
The disruption is felt across the environment, affecting Splunk Secure Gateway and Splunk Enterprise deployments.
In response, moved swiftly to contain the threat with measures like Patches released in SSG versions 3.8.67, 3.9.20, and 3.10.6, and began remediation that includes Apply updates, disable Secure Gateway app if unused, restrict KV Store write permissions, enforce strict access controls.
The case underscores how teams are taking away lessons such as The incident underscores a persistent security risk in Python applications: unsafe deserialization of untrusted data, where incomplete validation can neutralize protective measures, leading to full system compromise, and recommending next steps like Apply patches immediately, disable Secure Gateway app if unused, restrict KV Store write permissions, enforce strict access controls.
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 exploits weaknesses in how SSG processes alert data via Splunk REST API and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating attackers with low-privilege Splunk account can exploit the flaw. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with high confidence (90%), supported by evidence indicating arbitrary code execution via subprocess.check_output() during deserialization and Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating rCE via unsafe deserialization of maliciously crafted JSON document. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating rCE under the Splunk service account from low-privilege access. Under the Defense Evasion tactic, the analysis identified BITS Jobs (T1197) with lower confidence (30%), supported by evidence indicating potential use of system commands via subprocess (indirect evidence) and Indirect Command Execution (T1202) with moderate to high confidence (70%), supported by evidence indicating arbitrary Python functions invoked via jsonpickle unsafe deserialization. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating potential full system compromise under Splunk service account. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Splunk Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/splunk/incident/SPL1782735858
- Splunk CyberSecurity Rating page: https://www.rankiteo.com/company/splunk
- Splunk Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/spl1782735858-splunk-vulnerability-june-2026/
- Splunk CyberSecurity Score History: https://www.rankiteo.com/company/splunk/history
- Splunk CyberSecurity Incident Source: https://gbhackers.com/splunk-secure-gateway-rce-vulnerability/
- 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