ABUSE.MOM
THREAT REPORT

IP Threat Report
31.163.237.20

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 08:40:39
First seen: 2026-02-18 15:24:00
Last seen: 2026-02-18 15:24:00
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 1.

FORM_SPAM
01

Geolocation & Classification

IP Address
31.163.237.20
Type
Residential
Country
🇷🇺 Russia
City
Perm
ISP
OJSC Rostelecom
Organization
Dynamic distribution IPs for broadband services
Autonomous System
AS12389 PJSC Rostelecom
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Form spam: no_js_checkSpam/malware keywords in request content+0
Σ = 0
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

2026-02-18 15:24:00
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Form spam: no_js_check
2026-02-18 15:24:00
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

OJSC Rostelecom
AS12389 · 🇷🇺 Russia
06

Recommendations

Actions taken & recommended

  • IP 31.163.237.20 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

📧 Spam Protection

Enable CAPTCHA on all public forms. Add honeypot fields. Rate-limit submissions to 3 per minute per IP. Deploy Akismet or CleanTalk.

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

31.163.237.20 has been assigned a threat score of 70/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.

📊 Threat Analysis

Threat intelligence analysis has linked 31.163.237.20 to malicious activity originating from Perm, Russia, operating on the network of OJSC Rostelecom. The address has been under observation since its initial detection. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/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. With 190 flagged addresses, Russia represents a significant presence in our threat database. At 70/100, this IP warrants immediate defensive action.

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 Russia

157.22.102.172 (313)178.130.54.159 (288)72.56.191.6 (265)95.182.125.201 (265)91.240.87.225 (263)View all →

🏢 Same network: AS12389

91.122.56.59 (235)178.34.163.28 (173)87.225.37.4 (165)95.70.102.6 (165)87.225.66.136 (165)View all →
12

Security Intelligence

💡 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.

💡 Insider Threat Indicators

Insider threats — whether malicious or negligent — account for a significant percentage of data breaches. Behavioral analytics detecting unusual access patterns, data downloads, and privilege escalation help identify insider risks before damage occurs.

🔍 Check Any IP Address

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