ABUSE.MOM
THREAT REPORT

IP Threat Report
159.26.107.118

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 12:56:29
First seen: 2026-03-27 07:50:56
Last seen: 2026-03-27 07:50:56
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 1.

FORM_SPAM
01

Geolocation & Classification

IP Address
159.26.107.118
Type
Residential
Country
🇪🇸 Spain
City
Madrid
ISP
Proton AG
Organization
PV-SL-HOSTED-Madrid
Autonomous System
AS208172 Proton AG
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Form spam: no_js_checkSpam/malware keywords in request content+0
Σ = 0
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

2026-03-27 07:50:56
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Form spam: no_js_check
2026-03-27 07:50:56
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Proton AG
AS208172 · 🇪🇸 Spain
06

Recommendations

Actions taken & recommended

  • IP 159.26.107.118 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 159.26.107.0/24
  • 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.

07

Neighbors in 159.26.107.0/24

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

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
b.barracudacentral.org
✓ Clean
psbl.surriel.com
✓ Clean
truncate.gbudb.net
✓ Clean
dnsbl-1.uceprotect.net

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

10

Threat Analysis

159.26.107.118 has been assigned a threat score of 70/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.

📊 Threat Analysis

The address 159.26.107.118 originates from Madrid, Spain, operating on the network of Proton AG. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/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. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is 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 Spain

159.26.107.55 (93)159.26.107.10 (83)View all →

🏢 Same network: AS208172

205.147.17.33 (255)159.26.119.227 (173)159.26.104.42 (165)159.26.99.62 (140)159.26.104.38 (140)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.

💡 Open Source Intelligence Methods

OSINT techniques leverage publicly available information for security research. DNS records, WHOIS data, certificate transparency logs, social media, and code repositories all provide valuable intelligence for threat analysis without requiring special access or tools.

🔍 Check Any IP Address

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