ABUSE.MOM
THREAT REPORT

IP Threat Report
95.24.144.226

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 14:32:51
First seen: 2026-03-13 04:00:08
Last seen: 2026-03-13 04:00:08
60

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 60/100. Total malicious requests observed: 2.

UA_CHANGEDBURST
01

Geolocation & Classification

IP Address
95.24.144.226
Type
Mobile
Country
🇷🇺 Russia
City
Moscow
ISP
PJSC "Vimpelcom"
Organization
Beeline Broadband
Autonomous System
AS8402 PJSC "Vimpelcom"
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Burst: 7 req / 2sAbnormally fast request rate — automated scanning+35
Σ = 60
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

2026-03-13 04:00:08
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Burst: 7 req / 2s (+35)
2026-03-13 04:00:08
Last malicious request observed
Total score reached: 60/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

PJSC "Vimpelcom"
AS8402 · 🇷🇺 Russia
06

Recommendations

Actions taken & recommended

  • IP 95.24.144.226 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

🤖 Bot Detection

Address UA spoofing from 95.24.144.226: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 95.24.144.226.

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

95.24.144.226 has been assigned a threat score of 60/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.

The following attack categories were identified:

User-Agent AnomalyRequest Flooding

📊 Threat Analysis

Our monitoring infrastructure has identified 95.24.144.226, geolocated to Moscow, Russia, operating on the network of PJSC "Vimpelcom", 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. The address belongs to a mobile carrier network. The sustained pattern of malicious requests indicates either a compromised device or deliberate abuse. The dual attack vectors of User-Agent Anomaly combined with Request Flooding indicate a coordinated assault rather than opportunistic scanning. With 111 flagged addresses, Russia represents a significant presence in our threat database. The score of 60/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

11

Related Threats

🇷🇺 Top threats from Russia

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

🏢 Same network: AS8402

95.27.50.60 (103)95.26.246.16 (95)95.24.173.18 (80)95.24.34.169 (80)95.25.28.140 (80)View all →
12

Security Intelligence

💡 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.

💡 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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