CVE-2025-45610

7.5 HIGH

📋 TL;DR

This vulnerability allows attackers to bypass access controls in PassJava-Platform's schedule log component, enabling unauthorized access to sensitive information. Attackers can exploit this by sending specially crafted payloads to the /scheduleLog/info/1 endpoint. Organizations using PassJava-Platform v3.0.0 are affected.

💻 Affected Systems

Products:
  • PassJava-Platform
Versions: v3.0.0
Operating Systems: Any OS running PassJava-Platform
Default Config Vulnerable: ⚠️ Yes
Notes: The vulnerability exists in the default configuration of v3.0.0. Any deployment using this version with the schedule log component enabled is vulnerable.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete compromise of sensitive schedule log data including potentially confidential business information, user activities, or system metadata that could facilitate further attacks.

🟠

Likely Case

Unauthorized access to schedule logs containing operational data, user activities, or system information that could be used for reconnaissance or data theft.

🟢

If Mitigated

No data exposure if proper authentication and authorization controls are implemented and validated.

🌐 Internet-Facing: HIGH if the vulnerable endpoint is exposed to the internet, as attackers can directly exploit it without network access barriers.
🏢 Internal Only: MEDIUM as internal attackers or compromised accounts could still exploit the vulnerability, though attack surface is reduced.

🎯 Exploit Status

Public PoC: ✅ No
Weaponized: UNKNOWN
Unauthenticated Exploit: ⚠️ Yes
Complexity: LOW

The vulnerability requires crafting a specific payload but appears to be straightforward to exploit based on the description. No authentication is required to access the vulnerable endpoint.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Not specified

Vendor Advisory: https://github.com/Jackson0714/PassJava-Platform/issues/48

Restart Required: No

Instructions:

1. Monitor the GitHub issue for patch availability. 2. Upgrade to a patched version once released. 3. Apply the patch following the vendor's instructions.

🔧 Temporary Workarounds

Block vulnerable endpoint

all

Implement network or application firewall rules to block access to /scheduleLog/info/1 endpoint

# Example for web server config (adjust for your environment)
# For nginx: location ~ ^/scheduleLog/info/1 { deny all; }
# For Apache: <Location "/scheduleLog/info/1"> Require all denied </Location>

Implement authentication middleware

all

Add authentication checks before the vulnerable endpoint processes requests

# Add authentication validation in your application code
# Example pseudocode: if (!isAuthenticated(request)) { return 401; }

🧯 If You Can't Patch

  • Implement network segmentation to isolate PassJava-Platform from untrusted networks
  • Deploy a web application firewall (WAF) with rules to detect and block exploitation attempts

🔍 How to Verify

Check if Vulnerable:

Test if unauthenticated requests to /scheduleLog/info/1 return sensitive data that should require authentication. Use curl: curl -X GET http://[target]/scheduleLog/info/1

Check Version:

Check application configuration or version files for PassJava-Platform version. Typically in package.json or similar manifest files.

Verify Fix Applied:

After applying mitigations, verify that unauthenticated requests to /scheduleLog/info/1 return proper access denied responses (401/403) instead of sensitive data.

📡 Detection & Monitoring

Log Indicators:

  • Unusual access patterns to /scheduleLog/info/1 endpoint
  • Multiple failed authentication attempts followed by successful access to schedule logs
  • Requests with unusual payloads or parameters to the vulnerable endpoint

Network Indicators:

  • Unusual traffic spikes to the schedule log endpoint
  • Requests to /scheduleLog/info/1 from unexpected IP addresses or geolocations

SIEM Query:

source="web_logs" AND (url_path="/scheduleLog/info/1" OR url_path LIKE "%/scheduleLog/info/1%") AND (response_code=200 OR response_code<400) | stats count by src_ip, user_agent

🔗 References

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