ABUSE.MOM
THREAT REPORT

IP Threat Report
103.112.171.50

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 13:51:31
First seen: 2026-03-17 07:47:59
Last seen: 2026-03-22 13:00:06
78

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 78/100. Total malicious requests observed: 3.

FORM_SPAMUA_CHANGEDBURSTREFERERMETHODDANGER_PATHREDIRECT_PROBE
01

Geolocation & Classification

IP Address
103.112.171.50
Type
Hosting
Country
🇩🇪 Germany
City
Frankfurt am Main
ISP
Interkvm Host SRL
Organization
ZetServers Marseille
Autonomous System
AS25198 ZetServers
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
Form spam: no_js_checkSpam/malware keywords in request content+0
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Burst: 5 req / 2sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
POST requests presentBehavioral anomaly detected by automated analysis+8
Danger medium hits: 2Medium-risk: admin panels, config files+20
Probe pattern 302->404 same pathBehavioral anomaly detected by automated analysis+20
Σ = 118
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

2026-03-17 07:47:59
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Form spam: no_js_check, UA changed for same IP (+25), Burst: 5 req / 2s (+35)
2026-03-22 13:00:06
Last malicious request observed
Total score reached: 78/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Interkvm Host SRL
AS25198 · 🇩🇪 Germany
06

Recommendations

Actions taken & recommended

  • IP 103.112.171.50 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Other malicious IPs detected in the same /24 subnet — consider blocking 103.112.171.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

📧 Spam Protection

Enable CAPTCHA on all public forms. Add honeypot fields. Rate-limit submissions to 3 per minute per IP. Deploy Akismet or CleanTalk.

🤖 Bot Detection

Address UA spoofing from 103.112.171.50: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 103.112.171.50.

🔎 Path Enumeration Protection

Block scanning from 103.112.171.50: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

07

Neighbors in 103.112.171.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

08

Open Ports & Services

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

OPEN PORTS (1)
PortServiceRiskDescription
443HTTPSLowHTTPS web server — encrypted web traffic
Hostnames: icloud.comicloud.cdn-apple.comhosted-by.zetservers.comwww.icloud.comauth.apple.comwww.icloud.com.cn
PTR: hosted-by.zetservers.com

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

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

10

Threat Analysis

103.112.171.50 has been assigned a threat score of 78/100 (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 AnomalyRequest FloodingPath Enumeration

📊 Threat Analysis

103.112.171.50 is registered in Frankfurt am Main, Germany, operating on the network of Interkvm Host SRL. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 3 malicious requests from this address across a 5-day span, reflecting a sustained attack cadence of ~0.6 requests per 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. The combination of 3 distinct attack vectors indicates a sophisticated, multi-pronged threat actor deploying automated tools that probe multiple attack surfaces simultaneously. Germany currently accounts for 105 blocked IPs in our database, making it a significant source of malicious traffic. At 78/100, 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 Germany

15.220.152.241 (320)77.81.65.244 (313)185.168.29.98 (313)91.217.249.222 (305)212.30.36.219 (305)View all →

🏢 Same network: AS25198

205.237.111.130 (68)188.241.219.114 (68)103.112.171.91 (68)162.249.127.178 (68)View all →
12

Security Intelligence

💡 SQL Injection Campaigns

SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.

💡 Honeypot Network Intelligence

Honeypots are decoy systems designed to attract and study attackers. Networks of honeypots provide early warning of new attack campaigns, reveal attacker tools and techniques, and generate high-confidence threat intelligence with minimal false positives.

🔍 Check Any IP Address

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