ABUSE.MOM
THREAT REPORT

IP Threat Report
222.176.200.225

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 14:30:22
First seen: 2026-03-15 05:00:05
Last seen: 2026-03-15 05:00:05
105

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 105/100. Total malicious requests observed: 2.

UA_CHANGEDBURSTREFERER
01

Geolocation & Classification

IP Address
222.176.200.225
Type
Residential
Country
🇨🇳 China
City
Chongqing
ISP
Chinanet
Organization
Chinanet CQ
Autonomous System
AS4134 CHINANET-BACKBONE
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Burst: 6 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 13 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

2026-03-15 05:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Burst: 6 req / 2s (+35), Burst: 13 req / 10s (+35)
2026-03-15 05:00:05
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

Chinanet
AS4134 · 🇨🇳 China
06

Recommendations

Actions taken & recommended

  • IP 222.176.200.225 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 222.176.200.0/24
  • 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 222.176.200.225: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🌊 Traffic Flood Defense

IP 222.176.200.225 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

07

Neighbors in 222.176.200.0/24

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

222.176.200.225 has been assigned a threat score of 105/100 (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:

User-Agent AnomalyRequest Flooding

📊 Threat Analysis

Our monitoring infrastructure has identified 222.176.200.225, geolocated to Chongqing, China, operating on the network of Chinanet, as a source of suspicious network activity. The address has been active for 1 days in our monitoring system, producing 2 flagged requests at a rate of ~2/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 Request Flooding indicate a coordinated assault rather than opportunistic scanning. With 202 flagged addresses, China represents a significant presence in our threat database. At 105/100, this is an extremely high-risk address. All traffic should be considered hostile.

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

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: AS4134

115.235.12.158 (220)111.225.149.144 (180)111.225.149.226 (180)222.80.214.7 (175)111.225.148.111 (170)View all →
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.

💡 DNS-Based Threat Detection

Monitoring DNS queries reveals malicious activity including command-and-control communication, data exfiltration through DNS tunneling, and connections to known malicious domains. DNS is often the first indicator of compromise in network forensics.

🔍 Check Any IP Address

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