ABUSE.MOM
THREAT REPORT

IP Threat Report
154.163.128.175

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-10-26 14:19:15
First seen: 2026-10-24 22:44:52
Last seen: 2026-10-25 04:05:37
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 13.

BOT_UADANGER_PATH
01

Geolocation & Classification

IP Address
154.163.128.175
Type
Mobile
Country
🇬🇭 GH
City
Kumasi
ISP
Scancom [MTNGhana] Mobile Subscribers
Organization
Scancom Limited
Autonomous System
AS30986 Scancom Limited
Hit Count
13
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
UA bot: pythonKnown bot/crawler User-Agent detected+40
Σ = 65
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

2026-10-24 22:44:52
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 1 (+25), UA bot: python (+40)
2026-10-25 04:05:37
Last malicious request observed
Total score reached: 65/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Scancom [MTNGhana] Mobile Subscribers
AS30986 · 🇬🇭 GH

We have detected 27 malicious IPs from this autonomous system.

View all IPs from AS30986 →
06

Recommendations

Actions taken & recommended

  • IP 154.163.128.175 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

🤖 Bot Detection

Address UA spoofing from 154.163.128.175: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

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
psbl.surriel.com
✓ Clean
bl.blocklist.de
✓ Clean
zen.spamhaus.org
✓ Clean
dnsbl.dronebl.org
✓ Clean
b.barracudacentral.org

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

10

Threat Analysis

154.163.128.175 has been assigned a threat score of 65/100 (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 Anomaly

📊 Threat Analysis

IP address 154.163.128.175 has been traced to Kumasi, GH, operating on the network of Scancom [MTNGhana] Mobile Subscribers. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Our sensors captured 13 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~13 requests per day. The address belongs to a mobile carrier network. The sustained pattern of malicious requests indicates either a compromised device or deliberate abuse. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. With 53 flagged addresses, GH represents a notable presence in our threat database. At 65/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.

11

Related Threats

🇬🇭 Top threats from GH

5.180.179.11 (340)197.253.122.74 (208)154.161.167.124 (140)102.176.108.218 (103)102.176.65.111 (103)View all →

🏢 Same network: AS30986

154.161.167.124 (140)154.161.9.231 (103)154.161.178.187 (103)154.161.161.36 (103)154.161.228.25 (103)View all →
12

Security Intelligence

💡 Cross-Site Scripting (XSS) Attacks

XSS attacks inject malicious scripts into web pages viewed by other users. Reflected XSS uses crafted URLs, while stored XSS persists in databases. Both types can steal session cookies, redirect users, or deface websites.

💡 API Abuse and Enumeration

Modern attacks increasingly target APIs rather than traditional web interfaces. Attackers enumerate endpoints, test for broken authentication, and exploit excessive data exposure. API attacks are harder to detect as they mimic legitimate programmatic access patterns.

🔍 Check Any IP Address

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