ABUSE.MOM
THREAT REPORT

IP Threat Report
183.197.236.56

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 07:25:33
First seen: 2026-03-08 03:00:06
Last seen: 2026-03-08 03:00:06
75

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 75/100. Total malicious requests observed: 2.

DANGER_PATHRATIO_404REFERER
01

Geolocation & Classification

IP Address
183.197.236.56
Type
Mobile
Country
🇨🇳 China
City
Shijiazhuang
ISP
China Mobile
Organization
China Mobile Communications Corporation
Autonomous System
AS24547 Hebei Mobile Communication Company Limited
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 5Medium-risk: admin panels, config files+50
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Foreign referer seenReferer from unrelated external domain+10
Σ = 75
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

2026-03-08 03:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 5 (+50), 404 ratio 40-60% (+15), Foreign referer seen (+10)
2026-03-08 03:00:06
Last malicious request observed
Total score reached: 75/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

China Mobile
AS24547 · 🇨🇳 China
06

Recommendations

Actions taken & recommended

  • IP 183.197.236.56 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

🔎 Directory Scan Defense

IP 183.197.236.56 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

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

183.197.236.56 has been assigned a threat score of 75/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

The address 183.197.236.56 originates from Shijiazhuang, China, operating on the network of China Mobile. It was identified through automated analysis of incoming network traffic across monitored endpoints. During its 1-day observation window, we recorded 2 hostile requests from this IP — roughly 2 per day on average. This is a mobile network IP. While mobile addresses are typically shared via CGNAT, persistent malicious activity from this specific address suggests automated abuse. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. China currently accounts for 112 blocked IPs in our database, making it a significant source of malicious traffic. At 75/100, this IP warrants immediate defensive action.

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: AS24547

183.197.107.1 (105)183.199.142.194 (85)183.197.111.85 (85)183.199.254.45 (75)183.199.223.116 (65)View all →
12

Security Intelligence

💡 Server-Side Request Forgery (SSRF)

SSRF attacks trick servers into making requests to internal resources that should not be publicly accessible. This can expose cloud metadata endpoints, internal APIs, and private network services, potentially leading to full infrastructure compromise.

💡 False Positive Management

False positives erode trust in security systems and waste analyst resources. Effective management requires feedback loops, allowlisting mechanisms, contextual analysis, and regular tuning of detection rules based on operational experience.

🔍 Check Any IP Address

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