ABUSE.MOM
THREAT REPORT

IP Threat Report
172.98.33.71

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 08:18:20
First seen: 2026-05-14 16:00:06
Last seen: 2026-05-14 16:00:06
80

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 80/100. Total malicious requests observed: 1.

BOT_UADANGER_PATH
01

Geolocation & Classification

IP Address
172.98.33.71
Type
Residential
Country
🇺🇸 United States
City
Dallas
ISP
LayerSwitch
Organization
Prefixx, Inc
Autonomous System
AS396356 Latitude.sh
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
Danger medium hits: 4Medium-risk: admin panels, config files+40
Σ = 80
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

2026-05-14 16:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: Go-http-client (+40), Danger medium hits: 4 (+40)
2026-05-14 16:00:06
Last malicious request observed
Total score reached: 80/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

LayerSwitch
AS396356 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 172.98.33.71 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Other malicious IPs detected in the same /24 subnet — consider blocking 172.98.33.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🤖 User-Agent Anomaly Defense

IP 172.98.33.71 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

07

Neighbors in 172.98.33.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

09

Blacklist Status (DNSBL)

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

⛔ LISTED
zen.spamhaus.org
✓ Clean
ix.dnsbl.manitu.net
✓ Clean
dnsbl.sorbs.net
✓ 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

172.98.33.71 has been assigned a threat score of 80/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Network traffic from 172.98.33.71, located in Dallas, United States, operating on the network of LayerSwitch, has been classified as malicious by our automated threat scoring engine. During its 1-day observation window, we recorded 1 hostile requests from this IP — roughly 1 per day on average. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. Detected suspicious User-Agent anomalies including empty, forged, or rapidly rotating UA strings — characteristic of automated scanning tools. With 223 flagged addresses, United States represents a significant presence in our threat database. The score of 80/100 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

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🏢 Same network: AS396356

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12

Security Intelligence

💡 TLS Fingerprinting (JA3/JA4)

TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.

💡 Digital Forensics Fundamentals

Digital forensics preserves and analyzes electronic evidence following attacks. Proper chain of custody, forensic imaging, timeline reconstruction, and artifact analysis are essential for understanding attack scope, attribution, and preventing recurrence.

🔍 Check Any IP Address

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