ABUSE.MOM
THREAT REPORT

IP Threat Report
134.195.208.22

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-13 01:30:38
First seen: 2026-09-01 05:31:31
Last seen: 2026-09-13 01:15:07
115

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 115/100. Total malicious requests observed: 2837.

BURSTDANGER_PATHRATIO_404REFERER
01

Geolocation & Classification

IP Address
134.195.208.22
Type
Hosting
Country
🇺🇸 United States
City
Los Angeles
ISP
Axedale
Organization
CloudCone, LLC
Autonomous System
AS35916 MULTACOM CORPORATION
Hit Count
2837
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Burst 10/10sAbnormally fast request rate — automated scanning+35
Burst 10/2sAbnormally fast request rate — automated scanning+35
Burst 11/10sAbnormally fast request rate — automated scanning+35
Burst 11/2sAbnormally fast request rate — automated scanning+35
Burst 13/10sAbnormally fast request rate — automated scanning+35
Burst 13/2sAbnormally fast request rate — automated scanning+35
Burst 14/10sAbnormally fast request rate — automated scanning+35
Burst 15/10sAbnormally fast request rate — automated scanning+35
Burst 16/10sAbnormally fast request rate — automated scanning+35
Burst 18/10sAbnormally fast request rate — automated scanning+35
Burst 21/10sAbnormally fast request rate — automated scanning+35
Burst 22/10sAbnormally fast request rate — automated scanning+35
Burst 27/10sAbnormally fast request rate — automated scanning+35
Burst 5/2sAbnormally fast request rate — automated scanning+35
Burst 6/2sAbnormally fast request rate — automated scanning+35
Burst 7/2sAbnormally fast request rate — automated scanning+35
Burst 8/2sAbnormally fast request rate — automated scanning+35
Burst 9/2sAbnormally fast request rate — automated scanning+35
Danger medium hits: 1Medium-risk: admin panels, config files+10
Foreign refererReferer from unrelated external domain+10
Σ = 690
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

2026-09-01 05:31:31
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), 404 ratio >= 60% (+25), Burst 10/10s (+35)
2026-09-13 01:15:07
Last malicious request observed
Total score reached: 115/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Axedale
AS35916 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 134.195.208.22 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

🔎 Path Enumeration Protection

Block scanning from 134.195.208.22: 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 134.195.208.22.

09

Blacklist Status (DNSBL)

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

✓ Clean
b.barracudacentral.org
✓ Clean
zen.spamhaus.org
✓ Clean
dnsbl.dronebl.org
✓ Clean
cbl.abuseat.org
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
psbl.surriel.com
✓ Clean
bl.blocklist.de

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

10

Threat Analysis

134.195.208.22 has been assigned a threat score of 115/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.

The following attack categories were identified:

Path EnumerationRequest Flooding

📊 Threat Analysis

Our monitoring infrastructure has identified 134.195.208.22, geolocated to Los Angeles, United States, operating on the network of Axedale, as a source of suspicious network activity. Our sensors captured 2,837 malicious requests from this address across a 11-day span, reflecting a sustained attack cadence of ~257.9 requests per day. Classified as a hosting IP, this address likely runs on a rented server or cloud instance. Attackers prefer datacenter IPs for their high bandwidth and disposable nature. The dual attack vectors of Path Enumeration combined with Request Flooding indicate a coordinated assault rather than opportunistic scanning. Our records show 101 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. At 115/100, this is an extremely high-risk address. All traffic should be considered hostile.

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 United States

104.28.246.115 (350)104.28.214.122 (350)216.73.160.52 (350)34.187.158.4 (340)34.186.187.208 (340)View all →

🏢 Same network: AS35916

View all →
12

Security Intelligence

💡 DDoS Mitigation Approaches

Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.

💡 Privacy-Preserving Threat Detection

Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.

🔍 Check Any IP Address

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