ABUSE.MOM
THREAT REPORT

IP Threat Report
85.117.107.2

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 07:00:02
First seen: 2026-03-27 13:00:06
Last seen: 2026-03-27 13:00:06
60

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 60/100. Total malicious requests observed: 1.

UA_CHANGEDBURST
01

Geolocation & Classification

IP Address
85.117.107.2
Type
Mobile
Country
🇰🇿 KZ
City
Almaty
ISP
Mobile Telecom-Service LLP
Organization
Pool Net Alm
Autonomous System
AS29555 Mobile Telecom-Service LLP
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Burst: 8 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

2026-03-27 13:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Burst: 8 req / 2s (+35)
2026-03-27 13:00:06
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

Mobile Telecom-Service LLP
AS29555 · 🇰🇿 KZ
06

Recommendations

Actions taken & recommended

  • IP 85.117.107.2 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

🤖 User-Agent Anomaly Defense

IP 85.117.107.2 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 85.117.107.2.

09

Blacklist Status (DNSBL)

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

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

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

10

Threat Analysis

85.117.107.2 has been assigned a threat score of 60/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.

The following attack categories were identified:

User-Agent AnomalyRequest Flooding

📊 Threat Analysis

The address 85.117.107.2 originates from Almaty, KZ, operating on the network of Mobile Telecom-Service LLP. It was identified through automated analysis of incoming network traffic across monitored endpoints. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 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. Two attack patterns were identified (User-Agent Anomaly and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. Our records show 101 malicious IPs originating from KZ, positioning it as a significant contributor to global threat activity. The score of 60/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

11

Related Threats

🇰🇿 Top threats from KZ

178.20.210.57 (195)91.147.92.98 (180)165.140.199.93 (140)165.140.199.99 (140)165.140.199.80 (105)View all →

🏢 Same network: AS29555

View all →
12

Security Intelligence

💡 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.

💡 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.

🔍 Check Any IP Address

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