CVE-2024-48107
📋 TL;DR
SparkShop versions up to 1.1.7 contain a server-side request forgery (SSRF) vulnerability that allows attackers to make the server send requests to internal network resources. This enables port scanning of internal systems, attacks against internal applications, and cloud metadata access. All organizations running vulnerable SparkShop versions are affected.
💻 Affected Systems
- SparkShop
📦 What is this software?
Sparkshop by Sparkshop
⚠️ Risk & Real-World Impact
Worst Case
Attacker gains access to sensitive internal systems, exfiltrates data, or compromises cloud infrastructure via metadata exploitation.
Likely Case
Internal network reconnaissance leading to lateral movement opportunities and potential data exposure.
If Mitigated
Limited to port scanning and information gathering about internal network structure.
🎯 Exploit Status
Public proof-of-concept exists in GitHub gist, exploitation requires minimal technical skill.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: >1.1.7
Vendor Advisory: https://gitee.com/sparkshop/sparkshop
Restart Required: Yes
Instructions:
1. Backup current installation. 2. Download latest version from official repository. 3. Replace all files with patched version. 4. Restart web server/service.
🔧 Temporary Workarounds
Network Segmentation
linuxRestrict outbound network access from SparkShop server to only required destinations
iptables -A OUTPUT -p tcp --dport 80 -j ACCEPT
iptables -A OUTPUT -p tcp --dport 443 -j ACCEPT
iptables -A OUTPUT -j DROP
Input Validation
allImplement URL validation to reject internal/private IP addresses
🧯 If You Can't Patch
- Implement strict network egress filtering to block requests to internal IP ranges
- Deploy web application firewall (WAF) with SSRF protection rules
🔍 How to Verify
Check if Vulnerable:
Check if version is <=1.1.7 and test with SSRF payload to internal serviceCheck Version:
Check version in admin panel or package.json fileVerify Fix Applied:
Test with SSRF payload after update - should receive error or be blocked📡 Detection & Monitoring
Log Indicators:
- Unusual outbound requests from SparkShop to internal IPs
- Multiple failed connection attempts to various ports
Network Indicators:
- Spike in outbound connections from SparkShop server
- Requests to cloud metadata endpoints (169.254.169.254)
SIEM Query:
source="sparkshop" AND (dst_ip=PRIVATE_IP_RANGE OR dst_port_SCAN)