ABUSE.MOM
THREAT REPORT

IP Threat Report
37.114.147.192

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-30 00:54:40
First seen: 2026-07-28 01:35:53
Last seen: 2026-07-30 00:51:10
60

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 60/100. Total malicious requests observed: 138.

DANGER_PATHRATIO_404REFERER
01

Geolocation & Classification

IP Address
37.114.147.192
Type
Residential
Country
🇦🇿 AZ
City
Baku
ISP
Uninet LLC
Organization
Azqtel, Limited
Autonomous System
AS39232 Uninet LLC
Hit Count
138
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Foreign refererReferer from unrelated external domain+10
Σ = 60
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

2026-07-28 01:35:53
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio >= 60% (+25), Danger strong hits: 1 (+25), Foreign referer (+10)
2026-07-30 00:51:10
Last malicious request observed
Total score reached: 60/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Uninet LLC
AS39232 · 🇦🇿 AZ
06

Recommendations

Actions taken & recommended

  • IP 37.114.147.192 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

🔎 Path Enumeration Protection

Block scanning from 37.114.147.192: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

09

Blacklist Status (DNSBL)

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

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

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

10

Threat Analysis

37.114.147.192 has been assigned a threat score of 60/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

Our monitoring infrastructure has identified 37.114.147.192, geolocated to Baku, AZ, operating on the network of Uninet LLC, as a source of suspicious network activity. The address has been active for 1 days in our monitoring system, producing 138 flagged requests at a rate of ~138/day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. AZ currently accounts for 41 blocked IPs in our database, making it a notable source of malicious traffic. The score of 60/100 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 AZ

46.23.108.246 (230)188.253.208.139 (130)185.146.113.219 (105)89.40.30.213 (103)94.20.26.198 (103)View all →

🏢 Same network: AS39232

37.114.182.179 (60)View all →
12

Security Intelligence

💡 Credential Stuffing at Scale

Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.

💡 Command Injection Techniques

Command injection occurs when attackers insert operating system commands through application inputs. Successful exploitation grants direct server access, enabling data theft, malware installation, and lateral movement across networks.

🔍 Check Any IP Address

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