ABUSE.MOM
THREAT REPORT

IP Threat Report
172.59.27.6

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-28 14:52:05
First seen: 2026-07-26 04:04:02
Last seen: 2026-07-26 04:04:02
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_CHANGEDRATIO_404REDIRECT_PROBE
01

Geolocation & Classification

IP Address
172.59.27.6
Type
Mobile
Country
🇺🇸 United States
City
Cleveland
ISP
T-Mobile USA, Inc.
Organization
T-Mobile USA, Inc.
Autonomous System
AS21928 T-Mobile USA, Inc.
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changedMultiple User-Agents — bot rotation technique+25
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Probe 302→404Behavioral anomaly detected by automated analysis+20
Σ = 60
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

2026-07-26 04:04:02
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed (+25), 404 ratio 40-60% (+15), Probe 302→404 (+20)
2026-07-26 04:04:02
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

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

Recommendations

Actions taken & recommended

  • IP 172.59.27.6 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 172.59.27.6 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

🔎 Path Enumeration Protection

Block scanning from 172.59.27.6: 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.

✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
cbl.abuseat.org
✓ Clean
dnsbl.dronebl.org
✓ Clean
zen.spamhaus.org
✓ Clean
bl.spamcop.net
✓ Clean
psbl.surriel.com
✓ Clean
b.barracudacentral.org

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

10

Threat Analysis

172.59.27.6 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 AnomalyPath Enumeration

📊 Threat Analysis

Network traffic from 172.59.27.6, located in Cleveland, United States, operating on the network of T-Mobile USA, Inc., has been classified as malicious by our automated threat scoring engine. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/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 Path Enumeration indicate a coordinated assault rather than opportunistic scanning. With 107 flagged addresses, United States represents a significant presence in our threat database. At 60/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.

11

Related Threats

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104.28.246.115 (350)104.28.214.122 (350)103.215.74.213 (340)103.168.66.237 (340)34.187.158.4 (340)View all →

🏢 Same network: AS21928

172.56.157.62 (95)172.56.152.136 (80)172.59.42.159 (80)172.56.155.83 (80)172.56.8.223 (60)View all →
12

Security Intelligence

💡 TLS Fingerprinting (JA3/JA4)

TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.

💡 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.

🔍 Check Any IP Address

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