ABUSE.MOM
THREAT REPORT

IP Threat Report
37.67.108.86

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 09:12:49
First seen: 2026-02-17 17:26:01
Last seen: 2026-02-17 17:26:19
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 3.

FORM_SPAMIMPORT
01

Geolocation & Classification

IP Address
37.67.108.86
Type
Residential
Country
🇫🇷 France
City
Guyancourt
ISP
Societe Francaise Du Radiotelephone - SFR SA
Organization
SFR Infra
Autonomous System
AS15557 Societe Francaise Du Radiotelephone - SFR SA
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
Form spam: no_js_checkSpam/malware keywords in request content+0
Imported from old blocklistBehavioral anomaly detected by automated analysis+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

2026-02-17 17:26:01
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Form spam: no_js_check, Imported from old blocklist
2026-02-17 17:26:19
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

Societe Francaise Du Radiotelephone - SFR SA
AS15557 · 🇫🇷 France
06

Recommendations

Actions taken & recommended

  • IP 37.67.108.86 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

📧 Spam Protection

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

09

Blacklist Status (DNSBL)

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

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

37.67.108.86 has been assigned a threat score of 70/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.

📊 Threat Analysis

The address 37.67.108.86 originates from Guyancourt, France, operating on the network of Societe Francaise Du Radiotelephone - SFR SA. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 3 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~3 requests per day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. With 135 flagged addresses, France represents a significant presence in our threat database. The score of 70/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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 France

185.177.72.11 (348)185.177.72.10 (348)185.177.72.69 (348)185.177.72.29 (348)185.177.72.23 (348)View all →

🏢 Same network: AS15557

80.124.54.14 (265)77.128.208.248 (228)89.226.119.37 (185)77.135.68.113 (168)93.22.250.11 (168)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.

💡 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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