ABUSE.MOM
THREAT REPORT

IP Threat Report
220.202.111.2

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-13 02:34:25
First seen: 2026-08-07 11:30:18
Last seen: 2026-08-09 04:08:38
125

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 125/100. Total malicious requests observed: 54.

BOT_UADANGER_PATHRATIO_404REDIRECT_PROBE
01

Geolocation & Classification

IP Address
220.202.111.2
Type
Residential
Country
🇺🇸 United States
City
San Jose
ISP
China Unicom Network
Organization
Unknown
Autonomous System
AS4837 CHINA UNICOM China169 Backbone
Hit Count
54
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Probe 302→404Behavioral anomaly detected by automated analysis+20
UA bot: pythonKnown bot/crawler User-Agent detected+40
Σ = 125
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

2026-08-07 11:30:18
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), Danger strong hits: 2 (+50), Probe 302→404 (+20)
2026-08-09 04:08:38
Last malicious request observed
Total score reached: 125/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

China Unicom Network
AS4837 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 220.202.111.2 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 220.202.111.2: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🤖 Bot Detection

Address UA spoofing from 220.202.111.2: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

✓ Clean
bl.blocklist.de
✓ Clean
cbl.abuseat.org
✓ Clean
zen.spamhaus.org
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
b.barracudacentral.org
✓ Clean
psbl.surriel.com
✓ Clean
dnsbl.dronebl.org

Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.

10

Threat Analysis

220.202.111.2 has been assigned a threat score of 125/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.

The following attack categories were identified:

Path EnumerationUser-Agent Anomaly

📊 Threat Analysis

The address 220.202.111.2 originates from San Jose, United States, operating on the network of China Unicom Network. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 54 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~54 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 (Path Enumeration and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. With a threat score of 125/100, 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

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12

Security Intelligence

💡 WordPress-Specific Attack Vectors

WordPress sites face constant automated attacks targeting xmlrpc.php for brute force amplification, wp-login.php for credential theft, and vulnerable plugins for remote code execution. Over 90% of CMS-based attacks specifically target WordPress installations.

💡 Honeypot Network Intelligence

Honeypots are decoy systems designed to attract and study attackers. Networks of honeypots provide early warning of new attack campaigns, reveal attacker tools and techniques, and generate high-confidence threat intelligence with minimal false positives.

🔍 Check Any IP Address

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