ABUSE.MOM
THREAT REPORT

IP Threat Report
31.173.86.253

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 06:27:21
First seen: 2026-02-17 17:25:07
Last seen: 2026-02-17 17:26:16
80

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 80/100. Total malicious requests observed: 3.

BURSTREFERERIMPORT
01

Geolocation & Classification

IP Address
31.173.86.253
Type
Mobile
Country
🇷🇺 Russia
City
Moscow
ISP
MegaFon
Organization
OJSC MegaFon
Autonomous System
AS25159 PJSC MegaFon
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst: 22 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 23 req / 10sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Imported from old blocklistBehavioral anomaly detected by automated analysis+0
Σ = 80
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

2026-02-17 17:25:07
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst: 22 req / 2s (+35), Burst: 23 req / 10s (+35), Foreign referer seen (+10)
2026-02-17 17:26:16
Last malicious request observed
Total score reached: 80/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

MegaFon
AS25159 · 🇷🇺 Russia
06

Recommendations

Actions taken & recommended

  • IP 31.173.86.253 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 31.173.86.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🌊 Traffic Flood Defense

IP 31.173.86.253 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

07

Neighbors in 31.173.86.0/24

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

31.173.86.253 has been assigned a threat score of 80/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

IP address 31.173.86.253 has been traced to Moscow, Russia, operating on the network of MegaFon. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 1 days, this IP generated 3 malicious requests, averaging approximately 3 requests per day. This is a mobile network IP. While mobile addresses are typically shared via CGNAT, persistent malicious activity from this specific address suggests automated abuse. The IP is engaged in request flooding, sending traffic at rates designed to exhaust server capacity. With 111 flagged addresses, Russia represents a significant presence in our threat database. A threat score of 80/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.

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: AS25159

94.25.172.198 (140)178.176.78.240 (90)178.176.74.78 (80)31.173.80.186 (80)94.25.168.167 (80)View all →
12

Security Intelligence

💡 DDoS Mitigation Approaches

Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.

💡 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.

🔍 Check Any IP Address

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