ABUSE.MOM
THREAT REPORT

IP Threat Report
46.32.101.4

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 08:00:08
First seen: 2026-03-28 10:00:04
Last seen: 2026-03-28 10:00:04
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.

DANGER_PATHRATIO_404REFERER
01

Geolocation & Classification

IP Address
46.32.101.4
Type
Mobile
Country
🇯🇴 JO
City
Amman
ISP
Zain Jordan
Organization
Unknown
Autonomous System
AS48832 Jordanian mobile phone services Ltd
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Foreign referer seenReferer from unrelated external domain+10
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

2026-03-28 10:00:04
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 1 (+25), 404 ratio >= 60% (+25), Foreign referer seen (+10)
2026-03-28 10:00:04
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

Zain Jordan
AS48832 · 🇯🇴 JO
06

Recommendations

Actions taken & recommended

  • IP 46.32.101.4 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 46.32.101.4: 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
dnsbl.sorbs.net
✓ Clean
bl.spamcop.net
✓ Clean
b.barracudacentral.org
✓ Clean
truncate.gbudb.net
✓ Clean
psbl.surriel.com
✓ Clean
dnsbl-1.uceprotect.net

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

10

Threat Analysis

46.32.101.4 has been assigned a threat score of 60/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

Threat intelligence analysis has linked 46.32.101.4 to malicious activity originating from Amman, JO, operating on the network of Zain Jordan. The address has been under observation since its initial detection. 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. Our records show 78 malicious IPs originating from JO, positioning it as a notable 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 JO

91.186.252.91 (208)176.29.225.112 (198)91.186.255.110 (168)109.107.243.93 (128)176.28.170.254 (128)View all →

🏢 Same network: AS48832

176.29.225.112 (198)176.28.170.254 (128)176.29.249.183 (103)176.28.155.119 (83)176.28.168.249 (83)View all →
12

Security Intelligence

💡 Credential Stuffing at Scale

Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.

💡 Behavioral Analysis vs Signature Detection

Signature-based detection matches known attack patterns but misses novel threats. Behavioral analysis identifies anomalies in request patterns, timing, and volume, catching zero-day attacks that signatures cannot recognize.

🔍 Check Any IP Address

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