ABUSE.MOM
THREAT REPORT

IP Threat Report
77.90.6.171

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-21 16:03:49
First seen: 2026-04-14 02:00:07
Last seen: 2026-04-14 02:00:07
215

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 215/100. Total malicious requests observed: 1.

UA_CHANGEDDANGER_PATHRATIO_404BURSTREFERER
01

Geolocation & Classification

IP Address
77.90.6.171
Type
Residential
Country
🇩🇪 Germany
City
Frankfurt am Main
ISP
Philip Fjaera trading as PFWeb Solutions
Organization
Hostbrr Solutions
Autonomous System
AS214902 Philip Fjaera trading as PFWeb Solutions
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Danger strong hits: 6High-risk paths: shells, RCE vectors, exploits+100
Danger medium hits: 3Medium-risk: admin panels, config files+30
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Burst: 6 req / 2sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Σ = 215
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
[redacted]
GET
/page
200
Requests shown: 2 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-04-14 02:00:07
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Danger strong hits: 6 (+100), Danger medium hits: 3 (+30)
2026-04-14 02:00:07
Last malicious request observed
Total score reached: 215/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Philip Fjaera trading as PFWeb Solutions
AS214902 · 🇩🇪 Germany
06

Recommendations

Actions taken & recommended

  • IP 77.90.6.171 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 77.90.6.171: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🔎 Path Enumeration Protection

Block scanning from 77.90.6.171: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🌊 Traffic Flood Defense

IP 77.90.6.171 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

08

Open Ports & Services

Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.

OPEN PORTS (2)
PortServiceRiskDescription
3389RDPHighRemote Desktop Protocol — primary target for ransomware attacks
5357UnknownLowService on port 5357

⚠️ 1 high-risk port detected on 77.90.6.171. Exposed RDP (3389) is the #1 entry point for ransomware attacks. These services should not be publicly accessible without strict firewall rules.

Hostnames: 171.6.90.77.hostbrr.com
PTR: 171.6.90.77.hostbrr.com

Data source: Shodan InternetDB. Scanned independently of abuse.mom.

09

Blacklist Status (DNSBL)

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

✓ Clean
dnsbl.sorbs.net
✓ Clean
ix.dnsbl.manitu.net
✓ Clean
zen.spamhaus.org
✓ 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

77.90.6.171 has been assigned a threat score of 215/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.

The following attack categories were identified:

User-Agent AnomalyPath EnumerationRequest Flooding

📊 Threat Analysis

77.90.6.171 is registered in Frankfurt am Main, Germany, operating on the network of Philip Fjaera trading as PFWeb Solutions. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~1 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 diversity of 3 separate attack methods suggests a comprehensive attack toolkit — likely an automated scanner that tests for vulnerabilities across multiple categories. With 102 flagged addresses, Germany represents a significant presence in our threat database. With a threat score of 215/100, 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 Germany

15.220.152.241 (320)77.81.65.244 (313)185.168.29.98 (313)91.217.249.222 (305)212.30.36.219 (305)View all →

🏢 Same network: AS214902

89.144.53.117 (220)View all →
12

Security Intelligence

💡 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.

💡 Digital Forensics Fundamentals

Digital forensics preserves and analyzes electronic evidence following attacks. Proper chain of custody, forensic imaging, timeline reconstruction, and artifact analysis are essential for understanding attack scope, attribution, and preventing recurrence.

🔍 Check Any IP Address

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