ABUSE.MOM
THREAT REPORT

IP Threat Report
154.100.9.51

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 13:20:02
First seen: 2026-03-10 03:00:07
Last seen: 2026-03-10 03:00:07
103

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 103/100. Total malicious requests observed: 1.

DANGER_PATHMETHOD
01

Geolocation & Classification

IP Address
154.100.9.51
Type
Mobile
Country
🇸🇩 SD
City
Omdurman
ISP
ZAIN SD 2G 3G LTE APN Internet
Organization
Unknown
Autonomous System
AS36998 Sudanese Mobile Telephone (ZAIN) Co Ltd
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
Danger medium hits: 2Medium-risk: admin panels, config files+20
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 103
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

2026-03-10 03:00:07
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 3 (+75), Danger medium hits: 2 (+20), POST requests present (+8)
2026-03-10 03:00:07
Last malicious request observed
Total score reached: 103/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

ZAIN SD 2G 3G LTE APN Internet
AS36998 · 🇸🇩 SD
06

Recommendations

Actions taken & recommended

  • IP 154.100.9.51 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Other malicious IPs detected in the same /24 subnet — consider blocking 154.100.9.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

⚙️ General Security

Add 154.100.9.51 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.

07

Neighbors in 154.100.9.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

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

154.100.9.51 has been assigned a threat score of 103/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.

📊 Threat Analysis

154.100.9.51 is registered in Omdurman, SD, operating on the network of ZAIN SD 2G 3G LTE APN Internet. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. During its 1-day observation window, we recorded 1 hostile requests from this IP — roughly 1 per day on average. This is a mobile network IP. While mobile addresses are typically shared via CGNAT, persistent malicious activity from this specific address suggests automated abuse. Our records show 12 malicious IPs originating from SD, positioning it as a notable contributor to global threat activity. A score of 103/100 places this address in the top tier of severity. Block and investigate any historical connections.

11

Related Threats

🇸🇩 Top threats from SD

41.95.239.250 (103)154.100.9.0 (103)41.95.141.36 (103)102.120.188.227 (103)129.222.68.50 (103)View all →

🏢 Same network: AS36998

41.95.239.250 (103)154.100.9.0 (103)41.95.141.36 (103)41.95.225.94 (103)41.95.234.104 (68)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.

💡 Autonomous System Analysis

Analyzing attack patterns at the AS (Autonomous System) level reveals which networks harbor the most malicious activity. Some ASes have abuse rates orders of magnitude higher than average, indicating lax enforcement of acceptable use policies.

🔍 Check Any IP Address

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