ABUSE.MOM
THREAT REPORT

IP Threat Report
178.73.74.53

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-08 17:49:29
First seen: 2026-08-12 18:48:22
Last seen: 2026-08-16 01:00:31
60

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 60/100. Total malicious requests observed: 133.

DANGER_PATHRATIO_404REFERER
01

Geolocation & Classification

IP Address
178.73.74.53
Type
Mobile
Country
🇸🇦 SA
City
Jeddah
ISP
Bayanat Al-Oula Network Services
Organization
Mobily Broadband SA
Autonomous System
AS35819 Etihad Etisalat, a joint stock company
Hit Count
133
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Foreign refererReferer 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

2026-08-12 18:48:22
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio >= 60% (+25), Danger strong hits: 1 (+25), Foreign referer (+10)
2026-08-16 01:00:31
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

Bayanat Al-Oula Network Services
AS35819 · 🇸🇦 SA
06

Recommendations

Actions taken & recommended

  • IP 178.73.74.53 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

🔎 Directory Scan Defense

IP 178.73.74.53 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

✓ Clean
bl.blocklist.de
✓ Clean
zen.spamhaus.org
✓ Clean
cbl.abuseat.org
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
psbl.surriel.com
✓ Clean
dnsbl.dronebl.org
✓ Clean
b.barracudacentral.org

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

10

Threat Analysis

178.73.74.53 has been assigned a threat score of 60/100 (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:

Path Enumeration

📊 Threat Analysis

Threat intelligence analysis has linked 178.73.74.53 to malicious activity originating from Jeddah, SA, operating on the network of Bayanat Al-Oula Network Services. The address has been under observation since its initial detection. During its 3-day observation window, we recorded 133 hostile requests from this IP — roughly 44.3 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. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. With 106 flagged addresses, SA represents a significant presence in our threat database. The score of 60/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

11

Related Threats

🇸🇦 Top threats from SA

81.208.175.87 (320)34.166.187.0 (285)145.241.159.130 (270)8.228.201.198 (263)34.166.126.0 (263)View all →

🏢 Same network: AS35819

31.166.236.247 (120)178.73.81.104 (60)46.52.85.156 (60)176.18.31.11 (60)5.111.204.29 (60)View all →
12

Security Intelligence

💡 Server-Side Request Forgery (SSRF)

SSRF attacks trick servers into making requests to internal resources that should not be publicly accessible. This can expose cloud metadata endpoints, internal APIs, and private network services, potentially leading to full infrastructure compromise.

💡 IoT Device Compromise Patterns

Internet of Things devices are prime targets for botnet recruitment due to weak default credentials, infrequent updates, and always-on connectivity. Compromised IoT devices generate persistent scanning and attack traffic without their owners knowledge.

🔍 Check Any IP Address

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