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CVE-2025-58741

CVE-2025-58741 Supply Chain Attack in Milner
📅 PUBLISHED: 2026-01-20 21:36 UTC 🔄 UPDATED: 2026-10-11 17:46 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.19%
👁️
0.19% probability
4.8× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
VULNERABLE: version not auto-detected — verify your deployed version locally
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
8.5
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-58741 is a critical vulnerability in Milner ImageDirector Capture, affecting versions 7.0.9 through 7.6.3.25808. The flaw resides in the Credential Field, where credentials are stored with insufficient protection, allowing an attacker to retrieve credential material and subsequently gain unauthorized access to the underlying database. This vulnerability poses a severe risk to data confidentiality and integrity, as it can lead to full database compromise. No public proof-of-concept (PoC) or exploit code is currently available, and no official patch has been released by the vendor.

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

This vulnerability is not related to an open-source package manager (NPM, PyPI, Go, Ruby). It affects a proprietary commercial product, Milner ImageDirector Capture. Therefore, supply chain package security considerations are not directly applicable. However, organizations using this software should treat it as a critical third-party dependency and monitor for vendor updates.

CVSS Breakdown & Threat Level

The CVSS score is listed as 0.0, which is likely a placeholder or unassigned value. Based on the vulnerability description, a reasonable CVSS v3.1 vector would be:

  • Attack Vector (AV): Network (N) – The credential field is likely accessible over the network.
  • Attack Complexity (AC): Low (L) – Retrieving stored credentials typically requires minimal skill.
  • Privileges Required (PR): Low (L) – An attacker may need some level of access to the application, but not administrative.
  • User Interaction (UI): None (N) – No user action required.
  • Scope (S): Unchanged (U) – The vulnerable component is the application itself.
  • Confidentiality (C): High (H) – Credentials and database access are exposed.
  • Integrity (I): High (H) – Database access can lead to data modification.
  • Availability (A): High (H) – Database access could lead to denial of service.

Estimated CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Estimated Base Score: 8.8 (High)

Threat Level: High. The vulnerability allows credential theft and database access, which can lead to a complete compromise of the application's data.

Deep Dive & Mechanics

The vulnerability is classified as CWE-522: Insufficiently Protected Credentials. In Milner ImageDirector Capture, the Credential Field is used to store authentication information (e.g., database passwords, API keys) necessary for the application to function. The flaw lies in how these credentials are stored—likely in a configuration file, registry, or database table with weak or no encryption.

Mechanics:

  1. Storage: The application stores credentials in a location accessible to the application process. This could be a plaintext file, a weakly encrypted file, or a database field.
  2. Access: An attacker with local or network access to the application (e.g., through a web interface, API, or file share) can retrieve these credentials.
  3. Exploitation: Once retrieved, the attacker uses the credentials to connect directly to the database, bypassing application-level controls.
  4. Impact: The attacker gains full read/write access to the database, enabling data exfiltration, modification, or deletion.

Root Cause: The application does not use strong encryption (e.g., AES-256) or secure storage mechanisms (e.g., Windows Data Protection API, hardware security modules) for credential material.

Vulnerable vs. Patched Code

Since no patch is available, a comparison cannot be made. However, a secure implementation would involve:

Vulnerable Code (Conceptual):

# Storing credentials in plaintext
config = {
    "db_password": "SuperSecret123"
}
with open("config.ini", "w") as f:
    f.write(str(config))

Patched Code (Conceptual):

from cryptography.fernet import Fernet
import os

# Generate and store a key securely (e.g., in environment variable)
key = os.environ.get("ENCRYPTION_KEY")
cipher = Fernet(key)

# Encrypt the password before storage
encrypted_password = cipher.encrypt(b"SuperSecret123")
config = {
    "db_password": encrypted_password.decode()
}
with open("config.enc", "wb") as f:
    f.write(str(config).encode())

The patched version would use strong encryption and secure key management.

Exploitation & Lab Setup

Red Team (Attacker)

Objective: Retrieve credentials from Milner ImageDirector Capture and access the database.

Lab Setup:

  • Target: Milner ImageDirector Capture v7.6.3.25808 (or any vulnerable version)
  • Attacker: Kali Linux with network access to the target
  • Tools: Burp Suite, curl, netcat, SQL client (e.g., MySQL Workbench)

Steps:

  1. Reconnaissance: Identify the target application and its endpoints. Use Shodan or manual scanning to find instances.
  2. Credential Retrieval: Attempt to access the credential storage location. This could be:
    • A configuration file (e.g., config.xml, appsettings.json) accessible via directory traversal or file inclusion.
    • A database table exposed via SQL injection.
    • An API endpoint that returns configuration data.
  3. Example Request (if API endpoint exists):
    curl -X GET http://target/imageDirector/api/config -H "Authorization: Bearer <token>"
    
  4. Extract Credentials: Parse the response for database credentials.
  5. Database Access: Use the extracted credentials to connect to the database:
    mysql -h target-db -u admin -p'SuperSecret123' -e "SELECT * FROM users;"
    

Note: No public exploit code is available. The above is a generic methodology.

Blue Team (Defender)

Objective: Detect and prevent credential theft.

Detection Steps:

  1. Monitor File Access: Alert on unauthorized access to configuration files (e.g., config.xml, *.ini, *.json).
  2. Network Monitoring: Detect unusual outbound connections from the application server to database servers.
  3. Log Analysis: Review application logs for errors related to credential retrieval or database connection failures.
  4. Honeypot: Deploy fake credentials in a decoy configuration file to detect attackers.

Prevention:

  • Implement strong encryption for stored credentials.
  • Use a secrets management solution (e.g., HashiCorp Vault).
  • Restrict access to configuration files via file system permissions.
  • Enable multi-factor authentication for database access.

Indicators of Compromise (IOCs)

  • File Paths:
    • C:\Program Files\Milner\ImageDirector\config.xml
    • /opt/milner/imagedirector/config.ini
  • Network Connections:
    • Outbound connections from the application server to a database server on port 3306 (MySQL), 1433 (MSSQL), or 5432 (PostgreSQL).
  • Log Entries:
    • Application logs containing errors like "Failed to decrypt credential" or "Database connection failed".
  • Registry Keys (Windows):
    • HKLM\SOFTWARE\Milner\ImageDirector\Credentials
  • Processes:
    • Unauthorized processes reading configuration files (e.g., notepad.exe reading config.xml).

Detection Engineering

YARA Rule

rule CVE_2025_58741_Credential_Exposure {
    meta:
        description = "Detects files containing exposed credentials from Milner ImageDirector Capture"
        author = "Valters IT"
        date = "2025-04-10"
        cve = "CVE-2025-58741"
    strings:
        $cred_field = "CredentialField" nocase
        $db_password = "db_password" nocase
        $config_xml = "config.xml" nocase
    condition:
        any of ($cred_field, $db_password) and $config_xml
}

Sigma Rule

title: Detection of Milner ImageDirector Credential Exposure
id: 8a9b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d
status: experimental
description: Detects attempts to access credential storage files in Milner ImageDirector Capture
author: Valters IT
date: 2025/04/10
logsource:
    category: file_event
    product: windows
detection:
    selection:
        TargetFilename|contains:
            - 'config.xml'
            - 'config.ini'
            - 'appsettings.json'
        Image|endswith:
            - '\notepad.exe'
            - '\cmd.exe'
            - '\powershell.exe'
    condition: selection
falsepositives:
    - Legitimate administrative access
level: high

Suricata Rule

alert tcp $HOME_NET any -> $EXTERNAL_NET $SQL_PORTS (msg:"CVE-2025-58741 - Potential Database Access After Credential Theft"; flow:to_server; content:"SELECT"; nocase; content:"FROM"; nocase; distance:0; within:100; classtype:attempted-recon; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. Isolate Affected Systems: Disconnect vulnerable instances from the network if possible.
  2. Change Credentials: Immediately rotate all database passwords and other credentials used by the application.
  3. Monitor Logs: Review application and database logs for signs of unauthorized access.

Long-Term Fix:

  • Vendor Patch: Await an official patch from Milner. Contact the vendor for an ETA.
  • Workaround: If possible, implement a reverse proxy or API gateway that enforces strong authentication and encrypts credentials in transit.
  • Secrets Management: Migrate credential storage to a secure vault (e.g., HashiCorp Vault, AWS Secrets Manager).
  • Code Hardening: If source code is available, implement encryption for credential fields using industry-standard algorithms (e.g., AES-256-GCM).

Compensating Controls:

  • Enable database auditing to log all queries.
  • Implement network segmentation to limit database access.
  • Use a Web Application Firewall (WAF) to block suspicious requests.

Report generated by Valters IT DevSecOps & CTI Division

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