ABUSE.MOM
THREAT REPORT

IP Threat Report
172.59.221.135

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 06:57:35
First seen: 2026-04-10 16:00:06
Last seen: 2026-04-10 16:00:06
68

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 68/100. Total malicious requests observed: 1.

DANGER_PATHRATIO_404METHOD
01

Geolocation & Classification

IP Address
172.59.221.135
Type
Mobile
Country
🇺🇸 United States
City
Newark
ISP
T-Mobile USA, Inc.
Organization
T-Mobile USA, Inc.
Autonomous System
AS21928 T-Mobile USA, Inc.
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Danger medium hits: 1Medium-risk: admin panels, config files+10
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 68
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

2026-04-10 16:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 1 (+25), Danger medium hits: 1 (+10), 404 ratio >= 60% (+25)
2026-04-10 16:00:06
Last malicious request observed
Total score reached: 68/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

T-Mobile USA, Inc.
AS21928 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 172.59.221.135 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

🔎 Path Enumeration Protection

Block scanning from 172.59.221.135: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

09

Blacklist Status (DNSBL)

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

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

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

10

Threat Analysis

172.59.221.135 has been assigned a threat score of 68/100 (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:

Path Enumeration

📊 Threat Analysis

Network traffic from 172.59.221.135, located in Newark, United States, operating on the network of T-Mobile USA, Inc., has been classified as malicious by our automated threat scoring engine. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~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. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. With 152 flagged addresses, United States represents a significant presence in our threat database. The score of 68/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

11

Related Threats

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🏢 Same network: AS21928

172.58.117.187 (205)172.56.157.49 (175)172.59.113.219 (140)172.58.130.107 (140)172.56.154.193 (140)View all →
12

Security Intelligence

💡 Remote Code Execution (RCE)

RCE vulnerabilities allow attackers to execute arbitrary code on target servers. These critical flaws often arise from deserialization bugs, template injection, or file upload vulnerabilities, and represent the highest severity class of web application weaknesses.

💡 Open Source Intelligence Methods

OSINT techniques leverage publicly available information for security research. DNS records, WHOIS data, certificate transparency logs, social media, and code repositories all provide valuable intelligence for threat analysis without requiring special access or tools.

🔍 Check Any IP Address

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