ABUSE.MOM
THREAT REPORT

IP Threat Report
170.168.175.85

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-10 09:06:41
First seen: 2026-08-25 06:32:42
Last seen: 2026-08-30 01:10:41
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 146.

BOT_UARATIO_404
01

Geolocation & Classification

IP Address
170.168.175.85
Type
Residential
Country
🇵🇱 Poland
City
Wałcz
ISP
Alex Largman
Organization
Fine Group Servers Solutions LLC
Autonomous System
AS59651 AS QualityNetwork
Hit Count
146
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
UA bot: curlKnown bot/crawler User-Agent detected+40
Σ = 65
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

2026-08-25 06:32:42
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio >= 60% (+25), UA bot: curl (+40)
2026-08-30 01:10:41
Last malicious request observed
Total score reached: 65/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Alex Largman
AS59651 · 🇵🇱 Poland
06

Recommendations

Actions taken & recommended

  • IP 170.168.175.85 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 170.168.175.85 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

🤖 Bot Detection

Address UA spoofing from 170.168.175.85: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

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

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

10

Threat Analysis

170.168.175.85 has been assigned a threat score of 65/100 (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 EnumerationUser-Agent Anomaly

📊 Threat Analysis

Threat intelligence analysis has linked 170.168.175.85 to malicious activity originating from Wałcz, Poland, operating on the network of Alex Largman. The address has been under observation since its initial detection. Over a period of 4 days, this IP generated 146 malicious requests, averaging approximately 36.5 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. Two attack patterns were identified (Path Enumeration and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. The score of 65/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

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 Poland

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🏢 Same network: AS59651

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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.

💡 Cryptojacking Detection and Prevention

Cryptojacking hijacks computing resources to mine cryptocurrency without consent. Indicators include unusual CPU usage, specific network connections to mining pools, and JavaScript miners embedded in compromised websites. Server-side cryptojacking can persist undetected for months.

🔍 Check Any IP Address

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