ABUSE.MOM
THREAT REPORT

IP Threat Report
71.59.242.93

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 07:01:34
First seen: 2026-05-05 04:00:06
Last seen: 2026-05-05 04:00:06
110

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 110/100. Total malicious requests observed: 1.

DANGER_PATHBURSTREFERER
01

Geolocation & Classification

IP Address
71.59.242.93
Type
Residential
Country
🇺🇸 United States
City
Salem
ISP
Comcast Cable Communications
Organization
Comcast Cable Communications Holdings, Inc
Autonomous System
AS7922 Comcast Cable Communications, LLC
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 3Medium-risk: admin panels, config files+30
Burst: 37 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 37 req / 10sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Σ = 110
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

2026-05-05 04:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 3 (+30), Burst: 37 req / 2s (+35), Burst: 37 req / 10s (+35)
2026-05-05 04:00:06
Last malicious request observed
Total score reached: 110/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Comcast Cable Communications
AS7922 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 71.59.242.93 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

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 71.59.242.93.

09

Blacklist Status (DNSBL)

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

✓ Clean
ix.dnsbl.manitu.net
✓ Clean
dnsbl.sorbs.net
✓ Clean
zen.spamhaus.org
✓ Clean
bl.spamcop.net
✓ Clean
b.barracudacentral.org
✓ Clean
truncate.gbudb.net
✓ Clean
psbl.surriel.com
✓ Clean
dnsbl-1.uceprotect.net

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

10

Threat Analysis

71.59.242.93 has been assigned a threat score of 110/100 (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:

Request Flooding

📊 Threat Analysis

71.59.242.93 is registered in Salem, United States, operating on the network of Comcast Cable Communications. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. United States currently accounts for 200 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 110/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly 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

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🏢 Same network: AS7922

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12

Security Intelligence

💡 API Abuse and Enumeration

Modern attacks increasingly target APIs rather than traditional web interfaces. Attackers enumerate endpoints, test for broken authentication, and exploit excessive data exposure. API attacks are harder to detect as they mimic legitimate programmatic access patterns.

💡 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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