☠️
EXFILTRATING
DATA...
01010111 10110010 00101001 11000110 01101100 10011011 00010001 11100101 01000010 10101111
[ <-- BACK_TO_SEARCH ]
[ VENDOR STATS ]
CVSS: 4.9 🐛 CWE-835
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2024-32886

CVE-2024-32886 Supply Chain Attack in Vitess
📅 PUBLISHED: 2024-05-08 14:10 UTC 🔄 UPDATED: 2026-09-23 20:34 UTC
[ OFFICIAL PATCH DEPLOYED ↓ ] FIX: LIKELY — 2 independent sources confirm fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.75%
👁️
0.75% probability
18.8× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
Patch available — upgrade to latest release
CVSS SEVERITY SCALE
9.0–10.0 CRITICAL
7.0–8.9 HIGH
4.0–6.9 MEDIUM
0.1–3.9 LOW
0.0 NONE
4.9
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2024-32886 is a high-severity denial-of-service (DoS) vulnerability affecting the Vitess database clustering system, specifically the vtgate proxy component. By sending a specially crafted, simple SQL query, an unauthenticated attacker can trigger an infinite loop within vtgate, causing it to consume unbounded memory until the process crashes or the host runs out of memory. This vulnerability requires no authentication and can be exploited remotely over the network. The flaw has been patched in Vitess versions 19.0.4, 18.0.5, and 17.0.7. No public proof-of-concept (PoC) code or exploit is currently available, but the attack vector is straightforward, making proactive patching critical.

⚡ AUTOMATE YOUR CVE INTELLIGENCE

This record — and 170,000+ others — are available via the ValtersIT API. One endpoint replaces five: NVD + GitHub CVE + CISA KEV + EPSS + Nuclei + Exploit-DB, unified.

›Patch confidence — UNVERIFIED to CONFIRMED, cross-referenced NVD + RHSA + Debian
›Exploit & PoC — poc_status, poc_url, has_exploit. Not in NVD.
›Shodan dorks — ready-made queries to find exposed vulnerable systems
›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
›pending_fields — know exactly which of 7 fields NVD hasn't processed yet
›Free backfill — data incomplete when you paid? Re-check within 30 days = 0 credits
PAYG €0.08/lookup Standard €19/mo (was €29) · 5k credits Pro €65/mo (was €99) · 20k credits FOUNDING PRICE · LOCKED FOR LIFE · ENDS 31 DEC 2026
[ FROM €19/MO ]
Free sandbox key available
No signup required

Supply Chain & Package Security

Vitess is a Go-based open-source project distributed via GitHub and Docker Hub. Organizations using Vitess should verify their deployment source and ensure they are pulling patched images or building from patched source code. The vulnerability does not affect the Go package manager directly, but any containerized deployment using unpatched images is at risk.

CVSS Breakdown & Threat Level

CVSS Score: 4.9 (Medium) Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

  • Attack Vector (AV): Network – The vulnerability can be exploited remotely.
  • Attack Complexity (AC): Low – No special conditions are required.
  • Privileges Required (PR): None – No authentication needed.
  • User Interaction (UI): None – No user action required.
  • Scope (S): Unchanged – The exploit does not affect other components.
  • Confidentiality (C): None – No data exposure.
  • Integrity (I): None – No data modification.
  • Availability (A): Low – The attack causes a denial of service, but the impact is limited to the vtgate process.

Threat Level: Medium. While the CVSS score is moderate, the ease of exploitation (no auth, low complexity) and the potential for cascading failures in a clustered database environment elevate the real-world risk. An attacker can disrupt database access for all applications relying on the affected vtgate.

Deep Dive & Mechanics

The vulnerability resides in the query parsing and execution logic of vtgate, the proxy layer that routes client queries to the appropriate shards. When a specific malformed or edge-case SQL query is received, the query processing code enters an infinite loop. This loop repeatedly allocates memory (e.g., for temporary result sets or parsing structures) without any exit condition, leading to uncontrolled memory consumption.

The root cause is a missing or incorrect termination condition in a loop that processes query tokens or result rows. The loop continues indefinitely because the condition that should cause it to break (e.g., end of input, a specific token, or a counter) is never met. This is a classic CWE-835 (Loop with Unreachable Exit Condition) vulnerability.

The attack does not require any special privileges or prior knowledge of the database schema. A single TCP connection sending the malicious query is sufficient to trigger the DoS. The vtgate process will eventually exhaust all available memory, causing the operating system to kill it (OOM killer) or the process to crash. In a clustered environment, this can lead to a loss of database connectivity for all clients.

Vulnerable vs. Patched Code

The exact vulnerable code is not publicly disclosed, but the fix involves adding a proper exit condition to the loop that processes the problematic query. The patched code likely includes a check for a sentinel value, a maximum iteration count, or a state change that breaks the loop.

Vulnerable Code (Conceptual):

func processQuery(query string) {
    tokens := tokenize(query)
    for {
        token := nextToken(tokens)
        // Missing: if token == END_OF_INPUT { break }
        // Process token - may allocate memory
        processToken(token)
    }
}

Patched Code (Conceptual):

func processQuery(query string) {
    tokens := tokenize(query)
    for {
        token := nextToken(tokens)
        if token == END_OF_INPUT {
            break
        }
        // Process token - may allocate memory
        processToken(token)
    }
}

The patch ensures that the loop terminates when there are no more tokens to process, preventing the infinite memory consumption.

Exploitation & Lab Setup

Red Team (Offensive)

Prerequisites:

  • A Vitess cluster with an unpatched vtgate (version < 17.0.7, < 18.0.5, or < 19.0.4).
  • Network access to the vtgate port (default 15991 for MySQL protocol, or 3306 if proxied).

Exploitation Steps:

  1. Identify a target vtgate instance (e.g., via Shodan or internal network scanning).
  2. Connect to the vtgate using a MySQL client or raw TCP socket.
  3. Send the malicious query. The exact query is not publicly known, but it is described as a "simple query." Based on the vulnerability description, it likely involves a specific combination of SQL keywords or syntax that triggers the infinite loop. Example candidates include:
    • SELECT * FROM information_schema.tables WHERE 1=1 AND SLEEP(0);
    • A query with deeply nested subqueries or recursive CTEs.
    • A query with a malformed LIMIT or OFFSET clause.
  4. Observe the vtgate process memory consumption. It will increase rapidly until the process is killed.

Example using netcat (if the query is known):

echo "MALICIOUS_QUERY_HERE;" | nc -w 5 target_vtgate 15991

Note: Without the exact query, this is a theoretical exercise. The key takeaway is that the attack is simple and requires no authentication.

Blue Team (Defensive)

Detection:

  • Monitor vtgate process memory usage. A sudden, sustained increase in memory consumption without a corresponding increase in legitimate traffic is a strong indicator.
  • Monitor vtgate logs for repeated occurrences of the same query pattern or error messages related to query parsing.
  • Implement network-level rate limiting for new connections to vtgate.

Mitigation:

  • Immediately patch to the latest fixed version (19.0.4, 18.0.5, or 17.0.7).
  • If patching is not immediately possible, implement a Web Application Firewall (WAF) or reverse proxy that can inspect and block suspicious queries. However, this is a temporary measure as the exact query is unknown.
  • Restrict network access to vtgate to only trusted clients using firewall rules or network policies.

Indicators of Compromise (IOCs)

  • Network: TCP connections to vtgate ports (15991, 3306) from unexpected sources.
  • Process: vtgate process consuming >90% of available memory and eventually being killed by the OOM killer.
  • Logs: vtgate logs showing repeated query parsing errors or warnings about memory allocation failures.
  • System: Kernel logs (dmesg) showing OOM killer events targeting the vtgate process.

Detection Engineering

YARA Rule

rule CVE_2024_32886_Vitess_Memory_DoS {
    meta:
        description = "Detects potential exploitation of CVE-2024-32886 in Vitess vtgate logs"
        author = "Valters IT"
        date = "2024-10-27"
        reference = "https://nvd.nist.gov/vuln/detail/CVE-2024-32886"
    strings:
        $memory_error = "out of memory" nocase
        $loop_warning = "infinite loop detected" nocase
        $query_pattern = "SELECT * FROM" nocase
    condition:
        any of ($memory_error, $loop_warning) and $query_pattern
}

Sigma Rule

title: CVE-2024-32886 Vitess vtgate Memory Exhaustion
id: 8a4b3c2d-1e5f-4a7b-9c8d-0e1f2a3b4c5d
status: experimental
description: Detects potential exploitation of CVE-2024-32886 in Vitess vtgate logs
author: Valters IT
date: 2024-10-27
logsource:
    product: vitess
    service: vtgate
detection:
    selection:
        - "out of memory"
        - "infinite loop detected"
        - "memory allocation failure"
    condition: selection
falsepositives:
    - Legitimate high memory usage under heavy load
level: high

Suricata Rule

alert tcp $EXTERNAL_NET any -> $VITESS_VTGATE 15991 (msg:"CVE-2024-32886 Vitess vtgate Memory Exhaustion Attempt"; flow:to_server,established; content:"SELECT"; depth:6; content:"*"; distance:0; within:1; content:"FROM"; distance:0; within:4; threshold:type both, track by_src, count 5, seconds 60; classtype:attempted-dos; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. Patch: Upgrade Vitess to version 19.0.4, 18.0.5, or 17.0.7 immediately. Follow the official upgrade guide at Vitess Upgrade Documentation.
  2. Restrict Access: Ensure vtgate is not exposed to the public internet. Use firewalls to limit access to trusted IP ranges.
  3. Monitor: Implement monitoring for vtgate memory usage and set alerts for abnormal spikes.

Long-Term Measures:

  • Implement a Web Application Firewall (WAF) with custom rules to inspect and block suspicious SQL queries.
  • Conduct regular security audits and penetration testing of your Vitess deployment.
  • Subscribe to Vitess security advisories to stay informed of future vulnerabilities.

Workarounds (if patching is delayed):

  • Use a reverse proxy (e.g., HAProxy, Envoy) in front of vtgate to perform query validation and rate limiting.
  • Enable query logging and review logs for anomalous patterns.

Report generated by Valters IT DevSecOps & CTI Division

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2024-32886/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
>_ SYSTEM_CORE: INTEL_ACTIVE
90% TEAM-CURATED // 10% AUTOMATED INGESTION.
ALL PATCH REFERENCES AND VERSION DATA SOURCED FROM NVD + OSV OFFICIAL REGISTRIES.