ABUSE.MOM
THREAT REPORT

IP Threat Report
46.101.188.175

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-20 05:23:24
First seen: 2026-07-01 01:15:55
Last seen: 2026-07-05 04:02:07
100

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 100/100. Total malicious requests observed: 368.

DANGER_PATH
01

Geolocation & Classification

IP Address
46.101.188.175
Type
Hosting
Country
🇩🇪 Germany
City
Frankfurt am Main
ISP
DigitalOcean, LLC
Organization
Digital Ocean
Autonomous System
AS14061 DigitalOcean, LLC
Hit Count
368
02

Detection Signatures

SignatureDescriptionPointsSeverity
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
Danger strong hits: 4High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 6High-risk paths: shells, RCE vectors, exploits+100
Σ = 350
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

2026-07-01 01:15:55
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 1 (+25), Danger strong hits: 2 (+50), Danger strong hits: 3 (+75)
2026-07-05 04:02:07
Last malicious request observed
Total score reached: 100/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

DigitalOcean, LLC
AS14061 · 🇩🇪 Germany
06

Recommendations

Actions taken & recommended

  • IP 46.101.188.175 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

⚙️ Defensive Recommendations

Block 46.101.188.175 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.

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
cbl.abuseat.org
✓ Clean
spam.dnsbl.sorbs.net

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

10

Threat Analysis

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

📊 Threat Analysis

Our monitoring infrastructure has identified 46.101.188.175, geolocated to Frankfurt am Main, Germany, operating on the network of DigitalOcean, LLC, as a source of suspicious network activity. The address has been active for 4 days in our monitoring system, producing 368 flagged requests at a rate of ~92/day. The IP is classified as hosting/datacenter infrastructure, commonly associated with rented servers used for automated attack campaigns, botnet command-and-control, or vulnerability scanning at scale. With a threat score of 100/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.

This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.

11

Related Threats

🇩🇪 Top threats from Germany

104.248.40.189 (120)68.183.213.109 (120)134.122.76.170 (120)138.68.76.28 (120)View all →

🏢 Same network: AS14061

157.230.45.147 (265)137.184.112.33 (255)152.42.242.135 (230)157.245.205.168 (220)165.245.185.158 (220)View all →
12

Security Intelligence

💡 SQL Injection Campaigns

SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.

💡 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

Share this report: