ABUSE.MOM
THREAT REPORT

IP Threat Report
119.163.40.207

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 09:06:20
First seen: 2026-03-06 13:00:04
Last seen: 2026-03-06 13:00:04
105

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 105/100. Total malicious requests observed: 1.

UA_CHANGEDBURSTREFERER
01

Geolocation & Classification

IP Address
119.163.40.207
Type
Residential
Country
🇨🇳 China
City
Jinan
ISP
CNC Group CHINA169 Shandong Province Network
Organization
Unknown
Autonomous System
AS4837 CHINA UNICOM China169 Backbone
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Burst: 8 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 21 req / 10sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Σ = 105
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

2026-03-06 13:00:04
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Burst: 8 req / 2s (+35), Burst: 21 req / 10s (+35)
2026-03-06 13:00:04
Last malicious request observed
Total score reached: 105/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

CNC Group CHINA169 Shandong Province Network
AS4837 · 🇨🇳 China
06

Recommendations

Actions taken & recommended

  • IP 119.163.40.207 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

🤖 Bot Detection

Address UA spoofing from 119.163.40.207: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 119.163.40.207.

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

119.163.40.207 has been assigned a threat score of 105/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

The following attack categories were identified:

User-Agent AnomalyRequest Flooding

📊 Threat Analysis

Threat intelligence analysis has linked 119.163.40.207 to malicious activity originating from Jinan, China, operating on the network of CNC Group CHINA169 Shandong Province Network. The address has been under observation since its initial detection. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/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. China currently accounts for 191 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 105/100, 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.

11

Related Threats

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🏢 Same network: AS4837

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12

Security Intelligence

💡 User-Agent Analysis Techniques

Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.

💡 Vulnerability Scanning Explained

Vulnerability scanning is the automated process of probing web applications for known weaknesses. Attackers use tools like Nuclei, Nikto, and ZAP to test thousands of hosts per hour, looking for exposed configuration files, outdated software, and default credentials.

🔍 Check Any IP Address

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