ABUSE.MOM
THREAT REPORT

IP Threat Report
172.59.144.123

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 06:57:35
First seen: 2026-02-17 17:25:07
Last seen: 2026-02-17 17:26:16
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 3.

BURSTIMPORT
01

Geolocation & Classification

IP Address
172.59.144.123
Type
Mobile
Country
🇺🇸 United States
City
Stockton
ISP
T-Mobile USA, Inc.
Organization
T-Mobile USA, Inc.
Autonomous System
AS21928 T-Mobile USA, Inc.
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst: 26 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 34 req / 10sAbnormally fast request rate — automated scanning+35
Imported from old blocklistBehavioral anomaly detected by automated analysis+0
Σ = 70
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: 26 req / 2s (+35), Burst: 34 req / 10s (+35), Imported from old blocklist
2026-02-17 17:26:16
Last malicious request observed
Total score reached: 70/100
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 172.59.144.123 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

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 172.59.144.123.

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

172.59.144.123 has been assigned a threat score of 70/100 (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:

Request Flooding

📊 Threat Analysis

The address 172.59.144.123 originates from Stockton, United States, operating on the network of T-Mobile USA, Inc.. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 1 days in our monitoring system, producing 3 flagged requests at a rate of ~3/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. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. United States currently accounts for 152 blocked IPs in our database, making it a significant source of malicious traffic. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.

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

💡 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.

💡 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.

🔍 Check Any IP Address

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