Incident Score: Analysis & Impact (RED1780914215)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Redis'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 Redis 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 Redis breach identified under incident ID RED1780914215.
The analysis begins with a detailed overview of Redis's information like the linkedin page: https://www.linkedin.com/company/redisinc, the number of followers: 290921, the industry type: Software Development and the number of employees: 1510 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 766 and after the incident was 761 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 Redis and their customers.
On 05 May 2026, Redis disclosed Remote Code Execution (RCE) issues under the banner "Critical Redis RCE Vulnerability (CVE-2026-23631) - DarkReplica".
In May 2026, Redis developers addressed a severe post-authentication remote code execution (RCE) vulnerability, tracked as CVE-2026-23631 and dubbed DarkReplica, which enabled attackers to fully compromise affected Redis hosts.
The disruption is felt across the environment, affecting Redis hosts.
In response, moved swiftly to contain the threat with measures like Patches released for affected versions, and began remediation that includes Apply Redis security updates (versions 7.2.x, 7.4.x, 8.2.x, 8.4.x, 8.6.x), and stakeholders are being briefed through Technical write-up and proof-of-concept exploit published; detection advisories issued by vendors and cloud security tools.
The case underscores how teams are taking away lessons such as The incident underscores the risks of complex in-process scripting and replication features, particularly when synchronization and lifecycle management are not tightly controlled, and recommending next steps like Apply Redis security patches immediately; ensure strong authentication for Redis instances; monitor for exploitation attempts.
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 critical Redis RCE Vulnerability (CVE-2026-23631) Patched in May 2026 and Valid Accounts (T1078) with high confidence (90%), with evidence including post-authentication remote code execution (RCE) vulnerability, and exploitation requires authentication. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with high confidence (90%), with evidence including attackers to fully compromise affected Redis hosts via RCE, and execute arbitrary system commands and Command and Scripting Interpreter: Lua (T1059.002) with moderate to high confidence (80%), supported by evidence indicating functions engine, allowing administrators to execute custom Lua logic. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), with evidence including use-after-free condition...to gain control of the Lua VM, and execute arbitrary system commands. Under the Defense Evasion tactic, the analysis identified Exploitation for Defense Evasion (T1211) with moderate to high confidence (70%), supported by evidence indicating race condition in Redis’s handling of paused Lua functions and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating manipulate a Redis instance into becoming a replica of a malicious master. Under the Lateral Movement tactic, the analysis identified Remote Service Session Hijacking: RDP Hijacking (T1563.002) with moderate confidence (50%), supported by evidence indicating sLAVEOF command...to become a replica of a malicious master. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate to high confidence (70%), supported by evidence indicating fully compromise affected Redis hosts. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Redis Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/redisinc/incident/RED1780914215
- Redis CyberSecurity Rating page: https://www.rankiteo.com/company/redisinc
- Redis Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/red1780914215-redis-vulnerability-may-2026/
- Redis CyberSecurity Score History: https://www.rankiteo.com/company/redisinc/history
- Redis CyberSecurity Incident Source: https://cybersecuritynews.com/redis-rce-vulnerability-server/
- 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