ABUSE.MOM
THREAT REPORT

IP Threat Report
38.102.85.4

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 11:53:23
First seen: 2026-05-04 16:00:05
Last seen: 2026-05-10 23:00:06
60

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 60/100. Total malicious requests observed: 21.

UA_CHANGEDREFERERRATIO_404
01

Geolocation & Classification

IP Address
38.102.85.4
Type
Residential
Country
🇨🇦 Canada
City
Montreal
ISP
Rica Web Services
Organization
Rica Web Services
Autonomous System
AS26832 Rica Web Services
Hit Count
21
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Foreign referer seenReferer from unrelated external domain+10
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
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

2026-05-04 16:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Foreign referer seen (+10), 404 ratio >= 60% (+25)
2026-05-10 23:00:06
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

Rica Web Services
AS26832 · 🇨🇦 Canada
06

Recommendations

Actions taken & recommended

  • IP 38.102.85.4 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

🤖 User-Agent Anomaly Defense

IP 38.102.85.4 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

🔎 Path Enumeration Protection

Block scanning from 38.102.85.4: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

08

Open Ports & Services

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

OPEN PORTS (15)
PortServiceRiskDescription
21FTPMediumFile Transfer Protocol — often targeted for anonymous login attacks
22SSHLowSecure Shell — common brute force target for remote access
25SMTPMediumSMTP mail server — can be abused for spam relay
110POP3LowService on port 110
143IMAPLowService on port 143
465UnknownLowService on port 465
587UnknownLowService on port 587
993IMAPSLowService on port 993
995POP3SLowService on port 995
2083UnknownLowService on port 2083
5053UnknownLowService on port 5053
7777UnknownLowService on port 7777
8888HTTP-AltLowService on port 8888
9443UnknownLowService on port 9443
10443UnknownLowService on port 10443

⚠️ 1 high-risk port detected on 38.102.85.4. These services should not be publicly accessible without strict firewall rules.

KNOWN VULNERABILITIES (CVE) (8)
CVE IDLink
CVE-2023-51766NVD →
CVE-2026-40687NVD →
CVE-2026-40686NVD →
CVE-2025-30232NVD →
CVE-2026-40684NVD →
CVE-2025-67896NVD →
CVE-2024-39929NVD →
CVE-2026-40685NVD →

🔴 This host has 8 known CVEs associated with its exposed services. Multiple vulnerabilities suggest gaps in patch management. Review each CVE in the NVD database.

DETECTED TECHNOLOGIES
canonical:ubuntu_linuxopenbsd:openssh:9.6p1exim:exim:4.97f5:nginx
Hostnames: scriptcasino.ru

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

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

10

Threat Analysis

38.102.85.4 has been assigned a threat score of 60/100 (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:

User-Agent AnomalyPath Enumeration

📊 Threat Analysis

Network traffic from 38.102.85.4, located in Montreal, Canada, operating on the network of Rica Web Services, has been classified as malicious by our automated threat scoring engine. The address has been active for 6 days in our monitoring system, producing 21 flagged requests at a rate of ~3.5/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 (User-Agent Anomaly and Path Enumeration), suggesting a semi-automated campaign that targets multiple vulnerabilities. With 103 flagged addresses, Canada represents a significant presence in our threat database. 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 Canada

45.91.23.64 (305)147.15.149.40 (300)148.116.72.171 (300)89.251.0.24 (295)89.251.0.128 (295)View all →

🏢 Same network: AS26832

38.49.208.84 (95)38.102.126.40 (75)View all →
12

Security Intelligence

💡 TLS Fingerprinting (JA3/JA4)

TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.

💡 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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