IP Threat Report
167.99.132.252
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Malicious Activity | Behavioral anomaly detected by automated analysis | +0 |
Observed Activity
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Timeline
Recommendations
Actions taken & recommended
- IP 167.99.132.252 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
⚙️ Defensive Recommendations
Block 167.99.132.252 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.
Blacklist Status (DNSBL)
This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.
Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.
Threat Analysis
167.99.132.252 has been assigned a threat score of 85/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
📊 Threat Analysis
Threat intelligence analysis has linked 167.99.132.252 to malicious activity originating from Frankfurt am Main, Germany, operating on the network of DigitalOcean, LLC. The address has been under observation since its initial detection. During its 8-day observation window, we recorded 27 hostile requests from this IP — roughly 3.4 per day on average. Germany currently accounts for 101 blocked IPs in our database, making it a significant source of malicious traffic. The score of 85/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.
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💡 GraphQL Security Risks
GraphQL APIs introduce specific vulnerabilities including introspection information disclosure, query complexity attacks, batching abuse, and authorization bypass through nested queries. Depth limiting, cost analysis, and field-level authorization address these GraphQL-specific threats.
💡 Race Condition Vulnerabilities
Race conditions occur when application behavior depends on the timing of concurrent operations. Attackers exploit these timing windows to bypass limits, duplicate transactions, or escalate privileges by sending carefully timed parallel requests.