IP Threat Report
36.70.1.38
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Danger medium hits: 10 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 15 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 20 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 25 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 30 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 32 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 34 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 36 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 38 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 40 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 42 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 44 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 46 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 51 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 53 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 58 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 60 | Medium-risk: admin panels, config files | +60 | |
| Foreign referer | Referer from unrelated external domain | +10 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Probe 302→404 | Behavioral anomaly detected by automated analysis | +20 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| 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 36.70.1.38 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Report abuse to the network provider via their abuse contact
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
🔎 Path Enumeration Protection
Block scanning from 36.70.1.38: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
🤖 Bot Detection
Address UA spoofing from 36.70.1.38: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
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
36.70.1.38 has been assigned a threat score of 130/100 (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
Our monitoring infrastructure has identified 36.70.1.38, geolocated to East Jakarta, Indonesia, operating on the network of PT. TELKOM INDONESIA, as a source of suspicious network activity. Our sensors captured 589 malicious requests from this address across a 6-day span, reflecting a sustained attack cadence of ~98.2 requests per day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The dual attack vectors of Path Enumeration combined with User-Agent Anomaly indicate a coordinated assault rather than opportunistic scanning. Indonesia currently accounts for 176 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 130/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.
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💡 Credential Stuffing at Scale
Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.
💡 Edge Computing Attack Surface
Edge computing pushes processing closer to users but expands the attack surface. Edge nodes often run in less secure environments than centralized data centers, creating new opportunities for physical access attacks and supply chain compromises.