ABUSE.MOM
THREAT REPORT

IP Threat Report
154.163.183.98

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-10-26 14:51:23
First seen: 2026-10-18 15:53:55
Last seen: 2026-10-25 04:05:28
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 97.

BOT_UADANGER_PATH
01

Geolocation & Classification

IP Address
154.163.183.98
Type
Mobile
Country
🇬🇭 GH
City
Accra
ISP
Scancom [MTNGhana] Mobile Subscribers
Organization
Scancom Limited
Autonomous System
AS30986 Scancom Limited
Hit Count
97
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

2026-10-18 15:53:55
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 04:05:28
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 154.163.183.98 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 154.163.183.98: 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
dnsbl.dronebl.org
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
bl.blocklist.de
✓ Clean
zen.spamhaus.org
✓ Clean
cbl.abuseat.org
✓ Clean
b.barracudacentral.org
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

154.163.183.98 has been assigned a threat score of 65/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Threat intelligence analysis has linked 154.163.183.98 to malicious activity originating from Accra, GH, operating on the network of Scancom [MTNGhana] Mobile Subscribers. The address has been under observation since its initial detection. During its 6-day observation window, we recorded 97 hostile requests from this IP — roughly 16.2 per day on average. 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. Our records show 53 malicious IPs originating from GH, positioning it as a notable contributor to global threat activity. 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

💡 Directory Traversal Attacks

Path traversal attacks attempt to access files outside the intended directory by manipulating file path references. Attackers use sequences like ../ to reach sensitive system files such as /etc/passwd or application configuration files.

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

🔍 Check Any IP Address

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