ABUSE.MOM
THREAT REPORT

IP Threat Report
194.24.174.31

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 20:32:51
First seen: 2026-02-28 21:00:05
Last seen: 2026-02-28 21:00:05
103

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 103/100. Total malicious requests observed: 1.

DANGER_PATHMETHOD
01

Geolocation & Classification

IP Address
194.24.174.31
Type
Residential
Country
🇵🇱 Poland
City
Krosno
ISP
FHU Komnet Grzegorz Poltorak
Organization
Ra-net S.c. Szelc Piotr I Szuwart Michal
Autonomous System
AS35585 FHU Komnet Grzegorz Poltorak
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
Danger medium hits: 2Medium-risk: admin panels, config files+20
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 103
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

2026-02-28 21:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 3 (+75), Danger medium hits: 2 (+20), POST requests present (+8)
2026-02-28 21:00:05
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

FHU Komnet Grzegorz Poltorak
AS35585 · 🇵🇱 Poland
06

Recommendations

Actions taken & recommended

  • IP 194.24.174.31 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

⚙️ General Security

Add 194.24.174.31 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.

09

Blacklist Status (DNSBL)

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

✓ Clean
Spamhaus ZEN

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

10

Threat Analysis

194.24.174.31 has been assigned a threat score of 103/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

📊 Threat Analysis

The address 194.24.174.31 originates from Krosno, Poland, operating on the network of FHU Komnet Grzegorz Poltorak. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~1 requests per day. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. Our records show 101 malicious IPs originating from Poland, positioning it as a significant contributor to global threat activity. 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 Poland

170.168.175.156 (313)170.168.96.250 (313)170.168.175.34 (313)74.248.132.176 (280)74.248.96.218 (280)View all →

🏢 Same network: AS35585

View all →
12

Security Intelligence

💡 Vulnerability Scanning Explained

Vulnerability scanning is the automated process of probing web applications for known weaknesses. Attackers use tools like Nuclei, Nikto, and ZAP to test thousands of hosts per hour, looking for exposed configuration files, outdated software, and default credentials.

💡 Behavioral Analysis vs Signature Detection

Signature-based detection matches known attack patterns but misses novel threats. Behavioral analysis identifies anomalies in request patterns, timing, and volume, catching zero-day attacks that signatures cannot recognize.

🔍 Check Any IP Address

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