ABUSE.MOM
THREAT REPORT

IP Threat Report
13.94.26.186

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-10-24 18:18:01
First seen: 2026-10-04 15:08:08
Last seen: 2026-10-11 01:04:58
280

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 280/100. Total malicious requests observed: 324.

BURSTDANGER_PATHRATIO_404REDIRECT_PROBEUA_SUS
01

Geolocation & Classification

IP Address
13.94.26.186
Type
Hosting
Country
🇭🇰 Hong Kong
City
Hong Kong
ISP
Microsoft Corporation
Organization
Microsoft Azure Cloud (eastasia)
Autonomous System
AS8075 Microsoft Corporation
Hit Count
324
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 12/2sAbnormally fast request rate — automated scanning+35
Burst 13/2sAbnormally fast request rate — automated scanning+35
Burst 38/10sAbnormally fast request rate — automated scanning+35
Burst 40/10sAbnormally fast request rate — automated scanning+35
Burst 42/10sAbnormally fast request rate — automated scanning+35
Burst 43/10sAbnormally fast request rate — automated scanning+35
Burst 44/10sAbnormally fast request rate — automated scanning+35
Danger medium hits: 140Medium-risk: admin panels, config files+60
Danger medium hits: 153Medium-risk: admin panels, config files+60
Danger medium hits: 165Medium-risk: admin panels, config files+60
Danger medium hits: 2Medium-risk: admin panels, config files+20
Danger medium hits: 79Medium-risk: admin panels, config files+60
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger strong hits: 26High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 34High-risk paths: shells, RCE vectors, exploits+100
Probe 302→404Behavioral anomaly detected by automated analysis+20
UA suspiciousBehavioral anomaly detected by automated analysis+15
Σ = 855
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

2026-10-04 15:08:08
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 12/2s (+35)
2026-10-11 01:04:58
Last malicious request observed
Total score reached: 280/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Microsoft Corporation
AS8075 · 🇭🇰 Hong Kong

We have detected 1853 malicious IPs from this autonomous system.

View all IPs from AS8075 →
06

Recommendations

Actions taken & recommended

  • IP 13.94.26.186 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

🔎 Directory Scan Defense

IP 13.94.26.186 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

🌊 Traffic Flood Defense

IP 13.94.26.186 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

🤖 Bot Detection

Address UA spoofing from 13.94.26.186: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

09

Blacklist Status (DNSBL)

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

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

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

10

Threat Analysis

13.94.26.186 has been assigned a threat score of 280/100 (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:

Path EnumerationRequest FloodingUser-Agent Anomaly

📊 Threat Analysis

13.94.26.186 is registered in Hong Kong, Hong Kong, operating on the network of Microsoft Corporation. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. During its 6-day observation window, we recorded 324 hostile requests from this IP — roughly 54 per day on average. This address belongs to a datacenter or cloud hosting provider. Hosting IPs are frequently leveraged by threat actors who rent cheap VPS instances specifically for conducting attacks. With 3 different attack patterns detected, this IP exhibits behavior characteristic of advanced automated scanning frameworks. Our records show 1,330 malicious IPs originating from Hong Kong, positioning it as a major contributor to global threat activity. At 280/100, 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 Hong Kong

45.138.12.32 (358)45.138.12.45 (348)45.138.12.34 (340)45.138.12.47 (340)45.138.12.40 (340)View all →

🏢 Same network: AS8075

68.155.155.199 (320)20.127.136.245 (318)20.151.200.44 (315)20.92.77.159 (310)20.210.128.125 (310)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.

💡 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

Share this report: