ABUSE.MOM
THREAT REPORT

IP Threat Report
116.179.32.159

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 14:06:57
First seen: 2026-02-17 17:25:08
Last seen: 2026-05-05 07:00:06
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 7.

BOT_UARATIO_404IMPORT
01

Geolocation & Classification

IP Address
116.179.32.159
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
7
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: spiderKnown bot/crawler User-Agent detected+40
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Imported from old blocklistBehavioral anomaly detected by automated analysis+0
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

2026-02-17 17:25:08
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), Imported from old blocklist
2026-05-05 07:00:06
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 116.179.32.159 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 116.179.32.0/24
  • 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 116.179.32.159: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🔎 Path Enumeration Protection

Block scanning from 116.179.32.159: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

07

Neighbors in 116.179.32.0/24

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

116.179.32.159 has been assigned a threat score of 65/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.

The following attack categories were identified:

User-Agent AnomalyPath Enumeration

📊 Threat Analysis

The address 116.179.32.159 originates from Jinrongjie, China, operating on the network of China Unicom CHINA169 Network. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 76 days in our monitoring system, producing 7 flagged requests at a rate of ~0.1/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 User-Agent Anomaly combined with Path Enumeration indicate a coordinated assault rather than opportunistic scanning. With 241 flagged addresses, China represents a significant presence in our threat database. At 65/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.

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

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🏢 Same network: AS4837

110.249.202.228 (185)110.249.202.15 (180)110.249.201.233 (180)110.249.202.94 (180)110.249.202.167 (170)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.

💡 Email Authentication: SPF, DKIM, DMARC

Email authentication protocols work together to prevent spoofing. SPF validates sending servers, DKIM provides cryptographic message signing, and DMARC defines enforcement policies. Full implementation significantly reduces phishing effectiveness.

🔍 Check Any IP Address

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