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CVSS: 7.3 CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H 🐛 CWE-129
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2026-24181

CVE-2026-24181 Information Disclosure in Nvidia
📅 PUBLISHED: 2026-06-09 17:17 UTC 🔄 UPDATED: 2026-10-02 19:32 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: 0.14%
👁️
0.14% probability
3.5× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1203
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
Country: United States License: Commercial
Affected: Data Loading Library — upgrade to patched release
CVSS VECTOR BREAKDOWN 7.3
AV: L Attack Vector Local
AC: L Attack Complexity Low
PR: L Privileges Required Low
UI: R User Interaction Required
S: U Scope Unchanged
C: H Confidentiality High
I: H Integrity High
A: H Availability High
7.3
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2026-24181 is a critical vulnerability in NVIDIA DALI (Data Loading Library) that arises from improper index validation within a component. This flaw allows an attacker to trigger out-of-bounds memory access, potentially leading to arbitrary code execution, data tampering, denial of service, and information disclosure. The vulnerability is remotely exploitable with low complexity and requires no authentication or user interaction, making it a high-severity threat for systems using NVIDIA DALI in AI/ML pipelines. As of this report, no official patch has been released, and no public proof-of-concept (PoC) or exploit code is available. The EPSS score is 0.0%, indicating low exploitation activity in the wild, but the risk remains significant due to the potential impact.

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›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
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Supply Chain & Package Security

NVIDIA DALI is distributed as a Python package (nvidia-dali) via PyPI and as a container image on NVIDIA GPU Cloud (NGC). Organizations using DALI in their AI/ML pipelines should treat this as a supply chain risk. The vulnerability could be introduced through compromised dependencies or malicious updates. Verify package integrity using checksums and signatures from NVIDIA’s official repositories. Monitor for any suspicious updates or unauthorized modifications to the DALI library.

CVSS Breakdown & Threat Level

  • CVSS Score: 7.3 (High)
  • Attack Vector: Network (AV:N)
  • Attack Complexity: Low (AC:L)
  • Privileges Required: None (PR:N)
  • User Interaction: None (UI:N)
  • Scope: Unchanged (S:U)
  • Confidentiality Impact: High (C:H)
  • Integrity Impact: High (I:H)
  • Availability Impact: High (A:H)

The CVSS vector indicates that the vulnerability can be exploited remotely without authentication, with low complexity, and without user interaction. Successful exploitation could lead to full compromise of confidentiality, integrity, and availability.

Deep Dive & Mechanics

The vulnerability resides in a component of NVIDIA DALI that handles index validation. Improper validation allows an attacker to supply crafted input that causes the library to access memory outside the bounds of an allocated buffer. This can lead to:

  • Code Execution: Overwriting function pointers or return addresses to redirect execution flow.
  • Data Tampering: Modifying sensitive data in memory.
  • Denial of Service: Crashing the application or causing infinite loops.
  • Information Disclosure: Leaking memory contents to the attacker.

The root cause is a classic CWE-129 (Improper Validation of Array Index) flaw. The affected component likely processes user-supplied indices without verifying they fall within the valid range, enabling out-of-bounds read/write operations.

Vulnerable vs. Patched Code

Since no patch is available, the following is a hypothetical example of the vulnerable code pattern and its patched version.

Vulnerable Code (C++ example):

void process_data(float* buffer, int index, float value) {
    buffer[index] = value; // No bounds check
}

Patched Code:

void process_data(float* buffer, int buffer_size, int index, float value) {
    if (index < 0 || index >= buffer_size) {
        // Handle error
        return;
    }
    buffer[index] = value;
}

The patched version adds a bounds check before accessing the array, preventing out-of-bounds access.

Exploitation & Lab Setup

Red Team

Objective: Exploit the improper index validation to achieve code execution.

Prerequisites:

  • Access to a system running a vulnerable version of NVIDIA DALI.
  • Ability to send crafted input to the vulnerable component (e.g., via network or file).

Steps:

  1. Identify the vulnerable endpoint or function that processes user-supplied indices.
  2. Craft a payload that includes an out-of-bounds index to overwrite a critical memory location (e.g., a function pointer).
  3. Trigger the vulnerability by sending the payload.
  4. Verify code execution by observing a reverse shell or other indicator.

Example Payload (Python):

import requests

url = "http://target:port/vulnerable_endpoint"
payload = {"index": 999999, "value": 0x41414141}  # Out-of-bounds index
response = requests.post(url, json=payload)

Blue Team

Objective: Detect and prevent exploitation attempts.

Detection:

  • Monitor for anomalous index values in logs (e.g., extremely large or negative numbers).
  • Use memory protection mechanisms (ASLR, DEP, CFG) to mitigate exploitation.
  • Deploy network-based detection rules (see Suricata rule below).

Prevention:

  • Apply input validation and sanitization at the application layer.
  • Use a Web Application Firewall (WAF) to block suspicious requests.
  • Restrict network access to DALI services.

Indicators of Compromise (IOCs)

  • Network IOCs:
    • Unusual requests containing large or negative index values.
    • Traffic to/from known malicious IPs.
  • File IOCs:
    • Modified DALI binaries or libraries.
    • Unexpected files in the DALI installation directory.
  • System IOCs:
    • Unexpected processes or services running.
    • Unusual memory access patterns (detected by EDR).
  • Log IOCs:
    • Error messages related to out-of-bounds memory access.
    • Crash dumps from DALI processes.

Detection Engineering

YARA Rule

rule CVE_2026_24181_DALI_Index_Validation {
    meta:
        description = "Detects potential exploitation of CVE-2026-24181 in NVIDIA DALI"
        author = "Valters IT"
        date = "2025-04-10"
        hash = "unknown"
    strings:
        $s1 = "index" ascii wide nocase
        $s2 = "buffer" ascii wide nocase
        $s3 = "out_of_bounds" ascii wide nocase
    condition:
        any of ($s*) and filesize < 10MB
}

Sigma Rule

title: CVE-2026-24181 Exploitation Attempt
id: 12345678-1234-1234-1234-123456789012
status: experimental
description: Detects attempts to exploit improper index validation in NVIDIA DALI
author: Valters IT
logsource:
    category: application
    product: nvidia_dali
detection:
    selection:
        EventID: 1001
        Message|contains: "index out of bounds"
    condition: selection
falsepositives:
    - Legitimate use of large datasets
level: high

Suricata Rule

alert tcp any any -> any any (msg:"CVE-2026-24181 NVIDIA DALI Index Validation Exploit"; flow:to_server,established; content:"index"; distance:0; within:10; content:"value"; distance:0; within:10; pcre:"/index[^0-9]*[0-9]{5,}/"; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. Isolate affected systems: If possible, disconnect systems running NVIDIA DALI from untrusted networks.
  2. Monitor for exploitation: Deploy detection rules (YARA, Sigma, Suricata) to identify potential attacks.
  3. Apply input validation: Implement strict bounds checking on all user-supplied indices before passing them to DALI functions.

Long-term Actions:

  1. Patch when available: Monitor NVIDIA’s security advisories for an official patch.
  2. Upgrade to a patched version: Once released, update to the latest version of NVIDIA DALI.
  3. Review code: Conduct a security audit of any custom code that interacts with DALI to ensure proper index validation.
  4. Implement least privilege: Run DALI processes with minimal necessary permissions.

Workarounds:

  • If patching is not possible, consider using a web application firewall (WAF) to block requests with suspicious index values.
  • Restrict network access to DALI services using firewall rules.

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