ABUSE.MOM
THREAT REPORT

IP Threat Report
182.85.175.112

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-26 22:55:26
First seen: 2026-04-07 08:00:08
Last seen: 2026-04-07 08:00:08
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.

DANGER_PATHBURSTREFERER
01

Geolocation & Classification

IP Address
182.85.175.112
Type
Residential
Country
🇨🇳 China
City
Taohua
ISP
Chinanet
Organization
Chinanet JX
Autonomous System
AS4134 CHINANET-BACKBONE
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 6Medium-risk: admin panels, config files+60
Burst: 6 req / 2sAbnormally 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

2026-04-07 08:00:08
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 6 (+60), Burst: 6 req / 2s (+35), Foreign referer seen (+10)
2026-04-07 08:00:08
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 182.85.175.112 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

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 182.85.175.112.

09

Blacklist Status (DNSBL)

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

✓ Clean
ix.dnsbl.manitu.net
✓ Clean
zen.spamhaus.org
✓ Clean
dnsbl.sorbs.net
✓ Clean
bl.spamcop.net
✓ Clean
b.barracudacentral.org
✓ Clean
truncate.gbudb.net
✓ Clean
psbl.surriel.com
✓ Clean
dnsbl-1.uceprotect.net

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

10

Threat Analysis

182.85.175.112 has been assigned a threat score of 105/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

182.85.175.112 is registered in Taohua, China, operating on the network of Chinanet. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. 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. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. China currently accounts for 194 blocked IPs in our database, making it a significant source of malicious traffic. A score of 105/100 places this address in the top tier of severity. Block and investigate any historical connections.

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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🏢 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

💡 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.

💡 Emerging Threats from AI-Powered Attacks

Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.

🔍 Check Any IP Address

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