ABUSE.MOM
THREAT REPORT

IP Threat Report
40.176.95.40

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-21 10:25:27
First seen: 2026-07-16 14:18:50
Last seen: 2026-07-19 04:01:23
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 92.

BURST
01

Geolocation & Classification

IP Address
40.176.95.40
Type
Hosting
Country
🇨🇦 Canada
City
Calgary
ISP
Amazon.com, Inc.
Organization
Amazon Technologies Inc
Autonomous System
AS16509 Amazon.com, Inc.
Hit Count
92
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst 11/10sAbnormally fast request rate — automated scanning+35
Burst 8/2sAbnormally fast request rate — automated scanning+35
Σ = 70
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

2026-07-16 14:18:50
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst 11/10s (+35), Burst 8/2s (+35)
2026-07-19 04:01:23
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

Amazon.com, Inc.
AS16509 · 🇨🇦 Canada
06

Recommendations

Actions taken & recommended

  • IP 40.176.95.40 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

🌊 Traffic Flood Defense

IP 40.176.95.40 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

09

Blacklist Status (DNSBL)

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

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

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

10

Threat Analysis

40.176.95.40 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.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

IP address 40.176.95.40 has been traced to Calgary, Canada, operating on the network of Amazon.com, Inc.. Our threat detection systems have flagged this address based on observed malicious behavior patterns. The address has been active for 2 days in our monitoring system, producing 92 flagged requests at a rate of ~46/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 IP is engaged in request flooding, sending traffic at rates designed to exhaust server capacity. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.

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 Canada

3.96.63.82 (238)3.97.203.76 (178)View all →

🏢 Same network: AS16509

35.180.172.183 (298)3.72.250.64 (280)15.220.152.132 (280)63.185.94.2 (275)3.126.245.194 (263)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

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