ABUSE.MOM
THREAT REPORT

IP Threat Report
89.99.32.58

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 06:38:41
First seen: 2026-02-23 00:00:10
Last seen: 2026-05-24 08:52:25
103

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 103/100. Total malicious requests observed: 139.

DANGER_PATHMETHODRATIO_404
01

Geolocation & Classification

IP Address
89.99.32.58
Type
Residential
Country
🇳🇱 Netherlands
City
Amsterdam
ISP
Vodafone Ziggo
Organization
Liberty Global B.V.
Autonomous System
AS33915 Vodafone Libertel B.V.
Hit Count
139
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Danger medium hits: 1Medium-risk: admin panels, config files+10
Danger medium hits: 2Medium-risk: admin panels, config files+20
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
POST requests presentBehavioral anomaly detected by automated analysis+8
POST seenBehavioral anomaly detected by automated analysis+8
Σ = 236
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

2026-02-23 00:00:10
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), 404 ratio >= 60% (+25), Danger medium hits: 1 (+10)
2026-05-24 08:52:25
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

Vodafone Ziggo
AS33915 · 🇳🇱 Netherlands
06

Recommendations

Actions taken & recommended

  • IP 89.99.32.58 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 89.99.32.58 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.

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

89.99.32.58 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.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

IP address 89.99.32.58 has been traced to Amsterdam, Netherlands, operating on the network of Vodafone Ziggo. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 90 days, this IP generated 139 malicious requests, averaging approximately 1.5 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. With 126 flagged addresses, Netherlands represents a significant presence in our threat database. With a threat score of 103/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.

This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.

11

Related Threats

🇳🇱 Top threats from Netherlands

185.184.192.251 (338)45.88.138.44 (320)45.82.64.236 (315)5.181.169.192 (313)157.22.73.141 (313)View all →

🏢 Same network: AS33915

84.107.169.132 (110)89.99.217.10 (103)62.163.82.39 (103)24.132.185.158 (103)89.99.152.10 (103)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.

💡 Machine Learning in Threat Detection

Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.

🔍 Check Any IP Address

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