IP Threat Report
35.252.6.92
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Burst 15/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 16/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 17/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 18/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 19/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 20/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 22/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 23/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 47/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 48/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 50/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 51/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 52/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 53/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 54/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 55/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 56/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 57/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 58/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 60/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 61/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 62/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 63/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 64/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 65/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 66/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 67/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 70/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 74/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 75/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 78/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 79/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 40 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 241 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| POST seen | Behavioral anomaly detected by automated analysis | +8 | |
| UA changed | Multiple User-Agents — bot rotation technique | +25 |
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
Network Provider
Recommendations
Actions taken & recommended
- IP 35.252.6.92 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Other malicious IPs detected in the same /24 subnet — consider blocking 35.252.6.0/24
- Report abuse to the network provider via their abuse contact
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
🌊 Flood / DDoS Mitigation
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 35.252.6.92.
🤖 User-Agent Anomaly Defense
IP 35.252.6.92 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
Neighbors in 35.252.6.0/24
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
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
35.252.6.92 has been assigned a threat score of 263/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
The following attack categories were identified:
📊 Threat Analysis
Network traffic from 35.252.6.92, located in Tel Aviv, IL, operating on the network of Google LLC, has been classified as malicious by our automated threat scoring engine. The address has been active for 1 days in our monitoring system, producing 556 flagged requests at a rate of ~556/day. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. Two attack patterns were identified (Request Flooding and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. Our records show 205 malicious IPs originating from IL, positioning it as a significant contributor to global threat activity. A score of 263/100 places this address in the top tier of severity. Block and investigate any historical connections.
This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.
Related Threats
Security Intelligence
💡 DDoS Mitigation Approaches
Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.
💡 Dark Web Intelligence Gathering
Monitoring dark web forums and marketplaces provides advance warning of planned attacks, leaked credentials, and compromised data. This intelligence feeds into proactive defense measures before attacks reach their targets.