ABUSE.MOM
THREAT REPORT

IP Threat Report
77.81.65.22

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 07:58:01
First seen: 2026-04-23 06:24:06
Last seen: 2026-04-23 06:24:06
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 1.

FORM_SPAM
01

Geolocation & Classification

IP Address
77.81.65.22
Type
Hosting
Country
🇩🇪 Germany
City
Frankfurt am Main
ISP
Fast Servers (Pty) Ltd
Organization
RCS Technologies FZE LLC
Autonomous System
AS35830 Fast Servers (Pty) Ltd
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Form spam: no_js_checkSpam/malware keywords in request content+0
Σ = 0
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

2026-04-23 06:24:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Form spam: no_js_check
2026-04-23 06:24:06
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Fast Servers (Pty) Ltd
AS35830 · 🇩🇪 Germany
06

Recommendations

Actions taken & recommended

  • IP 77.81.65.22 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Other malicious IPs detected in the same /24 subnet — consider blocking 77.81.65.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

📧 Content Abuse Prevention

IP 77.81.65.22 is flooding forms with spam. Implement time-based tokens and block IPs submitting more than 5 forms per hour.

07

Neighbors in 77.81.65.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

09

Blacklist Status (DNSBL)

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

✓ Clean
zen.spamhaus.org
✓ Clean
dnsbl.sorbs.net
✓ Clean
ix.dnsbl.manitu.net
✓ Clean
bl.spamcop.net
✓ Clean
dnsbl-1.uceprotect.net
✓ Clean
b.barracudacentral.org
✓ Clean
psbl.surriel.com
✓ Clean
truncate.gbudb.net

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

10

Threat Analysis

77.81.65.22 has been assigned a threat score of 70/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.

📊 Threat Analysis

Network traffic from 77.81.65.22, located in Frankfurt am Main, Germany, operating on the network of Fast Servers (Pty) Ltd, has been classified as malicious by our automated threat scoring engine. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. This address belongs to a datacenter or cloud hosting provider. Hosting IPs are frequently leveraged by threat actors who rent cheap VPS instances specifically for conducting attacks. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is 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

77.81.65.244 (313)77.81.65.50 (245)View all →

🏢 Same network: AS35830

77.81.65.244 (313)130.49.77.86 (313)45.159.20.133 (278)130.49.114.213 (268)77.81.65.50 (245)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.

💡 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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