ABUSE.MOM
THREAT REPORT

IP Threat Report
36.106.166.115

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 16:43:00
First seen: 2026-03-15 05:00:05
Last seen: 2026-03-15 05:00:05
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 2.

UA_CHANGEDBURSTREFERER
01

Geolocation & Classification

IP Address
36.106.166.115
Type
Residential
Country
🇨🇳 China
City
Youyilu
ISP
ASN for TIANJIN Provincial Net of CT
Organization
Chinanet TJ
Autonomous System
AS17638 ASN for TIANJIN Provincial Net of CT
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Burst: 6 req / 2sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Σ = 70
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
[redacted]
GET
/page
200
Requests shown: 2 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-03-15 05:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Burst: 6 req / 2s (+35), Foreign referer seen (+10)
2026-03-15 05:00:05
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

ASN for TIANJIN Provincial Net of CT
AS17638 · 🇨🇳 China
06

Recommendations

Actions taken & recommended

  • IP 36.106.166.115 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 36.106.166.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🤖 User-Agent Anomaly Defense

IP 36.106.166.115 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 36.106.166.115.

07

Neighbors in 36.106.166.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

⛔ LISTED
Spamhaus ZEN

Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.

10

Threat Analysis

36.106.166.115 has been assigned a threat score of 70/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

User-Agent AnomalyRequest Flooding

📊 Threat Analysis

Our monitoring infrastructure has identified 36.106.166.115, geolocated to Youyilu, China, operating on the network of ASN for TIANJIN Provincial Net of CT, as a source of suspicious network activity. The address has been active for 1 days in our monitoring system, producing 2 flagged requests at a rate of ~2/day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. Two attack patterns were identified (User-Agent Anomaly and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. With 114 flagged addresses, China represents a significant presence in our threat database. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is 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.

11

Related Threats

🇨🇳 Top threats from China

180.184.55.222 (340)117.50.120.215 (235)115.191.1.205 (235)123.58.16.244 (235)43.142.47.248 (230)View all →

🏢 Same network: AS17638

36.106.166.185 (130)36.106.167.132 (120)36.106.166.218 (105)36.106.167.138 (105)36.106.166.76 (85)View all →
12

Security Intelligence

💡 TLS Fingerprinting (JA3/JA4)

TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.

💡 Subnet-Level vs IP-Level Blocking

When multiple IPs in a subnet show malicious behavior, subnet blocking efficiently neutralizes the threat. However, overly broad blocking risks impacting legitimate users. Analysis of subnet ownership and historical behavior guides appropriate blocking scope.

🔍 Check Any IP Address

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