ABUSE.MOM
THREAT REPORT

IP Threat Report
171.15.95.159

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 11:05:02
First seen: 2026-03-15 11:00:06
Last seen: 2026-03-15 11:00:06
85

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 85/100. Total malicious requests observed: 2.

DANGER_PATHRATIO_404REFERER
01

Geolocation & Classification

IP Address
171.15.95.159
Type
Residential
Country
🇨🇳 China
City
Guancheng
ISP
Chinanet
Organization
Chinanet HA
Autonomous System
AS4134 CHINANET-BACKBONE
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 6Medium-risk: admin panels, config files+60
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Foreign referer seenReferer from unrelated external domain+10
Σ = 85
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

2026-03-15 11:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 6 (+60), 404 ratio 40-60% (+15), Foreign referer seen (+10)
2026-03-15 11:00:06
Last malicious request observed
Total score reached: 85/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Chinanet
AS4134 · 🇨🇳 China
06

Recommendations

Actions taken & recommended

  • IP 171.15.95.159 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

🔎 Path Enumeration Protection

Block scanning from 171.15.95.159: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

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

171.15.95.159 has been assigned a threat score of 85/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

Threat intelligence analysis has linked 171.15.95.159 to malicious activity originating from Guancheng, China, operating on the network of Chinanet. The address has been under observation since its initial detection. The address has been active for 1 days in our monitoring system, producing 2 flagged requests at a rate of ~2/day. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. Our records show 194 malicious IPs originating from China, positioning it as a significant contributor to global threat activity. The score of 85/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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: AS4134

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12

Security Intelligence

💡 API Abuse and Enumeration

Modern attacks increasingly target APIs rather than traditional web interfaces. Attackers enumerate endpoints, test for broken authentication, and exploit excessive data exposure. API attacks are harder to detect as they mimic legitimate programmatic access patterns.

💡 SQL Injection Campaigns

SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.

🔍 Check Any IP Address

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