ABUSE.MOM
THREAT REPORT

IP Threat Report
116.179.37.87

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 14:05:31
First seen: 2026-03-14 14:00:05
Last seen: 2026-03-14 14:00:05
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 1.

BOT_UARATIO_404
01

Geolocation & Classification

IP Address
116.179.37.87
Type
Residential
Country
🇨🇳 China
City
Jinrongjie
ISP
China Unicom CHINA169 Network
Organization
China United Network Communications Corporation Limited
Autonomous System
AS4837 CHINA UNICOM China169 Backbone
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: spiderKnown bot/crawler User-Agent detected+40
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Σ = 65
03

Observed Activity

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

[redacted]
GET
/
200
Requests shown: 1 · HTTP 404: 0 · Dangerous patterns: 0

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

04

Timeline

2026-03-14 14:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: spider (+40), 404 ratio >= 60% (+25)
2026-03-14 14:00:05
Last malicious request observed
Total score reached: 65/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

China Unicom CHINA169 Network
AS4837 · 🇨🇳 China
06

Recommendations

Actions taken & recommended

  • IP 116.179.37.87 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 116.179.37.0/24
  • 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 116.179.37.87 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

🔎 Directory Scan Defense

IP 116.179.37.87 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

07

Neighbors in 116.179.37.0/24

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

116.179.37.87 has been assigned a threat score of 65/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

User-Agent AnomalyPath Enumeration

📊 Threat Analysis

116.179.37.87 is registered in Jinrongjie, China, operating on the network of China Unicom CHINA169 Network. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per 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 Path Enumeration), suggesting a semi-automated campaign that targets multiple vulnerabilities. Our records show 240 malicious IPs originating from China, positioning it as a significant contributor to global threat activity. The score of 65/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

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

💡 Web Application Firewall Strategies

WAFs inspect HTTP traffic to block common attacks but require careful tuning. Overly aggressive rules cause false positives while permissive configurations miss attacks. Modern WAFs combine signature matching with behavioral analysis and machine learning.

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

🔍 Check Any IP Address

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