ABUSE.MOM
THREAT REPORT

IP Threat Report
171.37.191.160

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 08:49:46
First seen: 2026-02-24 04:00:05
Last seen: 2026-02-24 04:00:05
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
171.37.191.160
Type
Residential
Country
🇨🇳 China
City
Nanning
ISP
China Unicom Guangxi 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: 7 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 11 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

2026-02-24 04:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Burst: 7 req / 2s (+35), Burst: 11 req / 10s (+35)
2026-02-24 04:00:05
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

China Unicom Guangxi Province Network
AS4837 · 🇨🇳 China
06

Recommendations

Actions taken & recommended

  • IP 171.37.191.160 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 171.37.191.160: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🌊 Traffic Flood Defense

IP 171.37.191.160 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

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

171.37.191.160 has been assigned a threat score of 105/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.

The following attack categories were identified:

User-Agent AnomalyRequest Flooding

📊 Threat Analysis

Network traffic from 171.37.191.160, located in Nanning, China, operating on the network of China Unicom Guangxi Province Network, has been classified as malicious by our automated threat scoring engine. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. Two attack patterns were identified (User-Agent Anomaly and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. Our records show 191 malicious IPs originating from China, positioning it as a significant contributor to global threat activity. 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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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: 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.

💡 GeoIP Blocking Considerations

Blocking traffic from specific countries reduces attack surface but impacts legitimate international users. Effective geo-based policies use tiered approaches — blocking, rate limiting, or requiring additional verification based on risk assessment.

🔍 Check Any IP Address

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