EUVD-2025-6997

Comprehensive Technical Analysis of EUVD-2025-6997

1. Vulnerability Assessment and Severity Evaluation

The vulnerability identified in EUVD-2025-6997 pertains to a remote code execution (RCE) flaw in the infiniflow/ragflow software, specifically affecting versions prior to 0.14.0. The vulnerability arises from two critical issues:

1. Hard-coded AuthKey: The RPC server uses a hard-coded authentication key (authkey=b'infiniflow-token4kevinhu'), which can be easily retrieved by attackers, allowing them to join group communications without restrictions.
2. Pickle Deserialization: The server processes incoming data using Python's pickle.loads() function, which is known to be insecure and can lead to RCE if malicious data is deserialized.

The CVSS (Common Vulnerability Scoring System) base score of 9.8 indicates a critical severity level. The vector CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H signifies:

• Attack Vector (AV:N): Network-based attack.
• Attack Complexity (AC:L): Low complexity required to exploit.
• Privileges Required (PR:N): No privileges required.
• User Interaction (UI:N): No user interaction required.
• Scope (S:U): Unchanged.
• Confidentiality (C:H): High impact on confidentiality.
• Integrity (I:H): High impact on integrity.
• Availability (A:H): High impact on availability.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• Network-based Attack: An attacker can exploit this vulnerability over the network without needing physical access to the system.
• Authentication Bypass: The hard-coded AuthKey can be easily discovered, allowing attackers to bypass authentication mechanisms.
• Deserialization Attack: By sending specially crafted pickle data, an attacker can execute arbitrary code on the server.

Exploitation Methods:

• Reconnaissance: Identify the vulnerable version of infiniflow/ragflow running on the target system.
• AuthKey Extraction: Retrieve the hard-coded AuthKey to gain unauthorized access.
• Payload Crafting: Create a malicious pickle payload designed to execute arbitrary code upon deserialization.
• Execution: Send the crafted payload to the RPC server, leading to remote code execution.

3. Affected Systems and Software Versions

The vulnerability affects all versions of infiniflow/ragflow prior to 0.14.0. Specifically:

• Product: infiniflow/ragflow
• Versions: All versions < 0.14.0

4. Recommended Mitigation Strategies

Immediate Actions:

• Upgrade: Upgrade to infiniflow/ragflow version 0.14.0 or later, which addresses the vulnerability.
• Patch Management: Ensure that all systems running the affected software are promptly updated.

Long-term Strategies:

• Authentication Mechanisms: Implement robust and dynamic authentication mechanisms instead of hard-coded keys.
• Secure Deserialization: Avoid using pickle for deserialization. Use safer alternatives like JSON or protocol buffers.
• Network Security: Implement network segmentation and firewalls to limit exposure to potential attackers.
• Monitoring and Logging: Enhance monitoring and logging to detect and respond to suspicious activities.

5. Impact on European Cybersecurity Landscape

The vulnerability poses a significant risk to organizations using infiniflow/ragflow, particularly those in critical sectors such as finance, healthcare, and government. The potential for remote code execution can lead to data breaches, service disruptions, and unauthorized access to sensitive information. This underscores the importance of timely patching and adherence to best security practices across the European cybersecurity landscape.

6. Technical Details for Security Professionals

Vulnerability Details:

• Hard-coded AuthKey: The AuthKey authkey=b'infiniflow-token4kevinhu' is static and can be easily retrieved by attackers.
• Pickle Deserialization: The use of pickle.loads() on connection.recv() data allows for RCE if malicious data is processed.

References:

• NVD Entry: CVE-2024-12433
• GitHub Commit: Fix Commit
• Huntr Bounty: Bounty Details

Aliases:

• CVE: CVE-2024-12433
• GHSA: GHSA-wr4v-pc76-3q4p

Assigner:

• Huntr AI: @huntr_ai

ENISA IDs:

• Product: fc37206d-52ec-3045-9e91-ea7c730fc6dd
• Vendor: 497bbd7d-2128-3414-935c-6d2fcbb95a10

By addressing this vulnerability promptly and adopting robust security measures, organizations can mitigate the risk of exploitation and enhance their overall cybersecurity posture.