ABUSE.MOM
THREAT REPORT

IP Threat Report
178.208.67.38

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 11:15:46
First seen: 2026-03-13 19:00:05
Last seen: 2026-03-22 13:00:07
85

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 85/100. Total malicious requests observed: 2.

UA_CHANGEDRATIO_404BURSTREFERERDANGER_PATH
01

Geolocation & Classification

IP Address
178.208.67.38
Type
Hosting
Country
🇳🇱 Netherlands
City
Amsterdam
ISP
MCHOST
Organization
Unknown
Autonomous System
AS216139 Iron Hosting Centre LTD
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Burst: 5 req / 2sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Σ = 135
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

2026-03-13 19:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), 404 ratio 40-60% (+15), Burst: 5 req / 2s (+35)
2026-03-22 13:00:07
Last malicious request observed
Total score reached: 85/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

MCHOST
AS216139 · 🇳🇱 Netherlands
06

Recommendations

Actions taken & recommended

  • IP 178.208.67.38 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 178.208.67.38: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🔎 Path Enumeration Protection

Block scanning from 178.208.67.38: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 178.208.67.38.

08

Open Ports & Services

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

OPEN PORTS (7)
PortServiceRiskDescription
21FTPMediumFile Transfer Protocol — often targeted for anonymous login attacks
22SSHLowSecure Shell — common brute force target for remote access
80HTTPLowHTTP web server — standard web traffic
81UnknownLowService on port 81
161UnknownLowService on port 161
873UnknownLowService on port 873
3306MySQLHighMySQL database — should never be exposed to the internet

⚠️ 2 high-risk ports detected on 178.208.67.38. These services should not be publicly accessible without strict firewall rules.

KNOWN VULNERABILITIES (CVE) (12)
CVE IDLink
CVE-2023-51385NVD →
CVE-2023-48795NVD →
CVE-2016-20012NVD →
CVE-2008-3844NVD →
CVE-2024-6387NVD →
CVE-2023-51767NVD →
CVE-2021-36368NVD →
CVE-2021-41617NVD →
CVE-2023-38408NVD →
CVE-2007-2768NVD →
CVE-2025-32728NVD →
CVE-2025-26465NVD →

🔴 This host has 12 known CVEs associated with its exposed services. This volume strongly suggests severely outdated software. Review each CVE in the NVD database.

DETECTED TECHNOLOGIES
openbsd:openssh:8.7oracle:mysql:5.7.22-22-logproftpd:proftpdapache:http_serverf5:nginx
Hostnames: s8h-dc.mchost.ru
PTR: s8h-dc.mchost.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
Spamhaus ZEN

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

10

Threat Analysis

178.208.67.38 has been assigned a threat score of 85/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.

The following attack categories were identified:

User-Agent AnomalyPath EnumerationRequest Flooding

📊 Threat Analysis

The address 178.208.67.38 originates from Amsterdam, Netherlands, operating on the network of MCHOST. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 8 days in our monitoring system, producing 2 flagged requests at a rate of ~0.3/day. The IP is classified as hosting/datacenter infrastructure, commonly associated with rented servers used for automated attack campaigns, botnet command-and-control, or vulnerability scanning at scale. With 3 different attack patterns detected, this IP exhibits behavior characteristic of advanced automated scanning frameworks. With 101 flagged addresses, Netherlands represents a significant presence in our threat database. At 85/100, this IP warrants immediate defensive action.

This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.

11

Related Threats

🇳🇱 Top threats from Netherlands

185.184.192.251 (338)45.88.138.44 (320)45.82.64.236 (315)5.181.169.192 (313)157.22.73.141 (313)View all →

🏢 Same network: AS216139

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.

💡 Machine Learning in Threat Detection

Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.

🔍 Check Any IP Address

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