ABUSE.MOM
THREAT REPORT

IP Threat Report
172.98.33.127

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-26 22:44:03
First seen: 2026-05-14 16:00:06
Last seen: 2026-05-14 16:00:06
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.

BOT_UADANGER_PATH
01

Geolocation & Classification

IP Address
172.98.33.127
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 strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger medium hits: 2Medium-risk: admin panels, config files+20
Σ = 110
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 strong hits: 2 (+50), Danger medium hits: 2 (+20)
2026-05-14 16:00:06
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

LayerSwitch
AS396356 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 172.98.33.127 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 172.98.33.127 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.

✓ Clean
ix.dnsbl.manitu.net
✓ Clean
bl.spamcop.net
✓ Clean
zen.spamhaus.org
✓ Clean
dnsbl.sorbs.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

172.98.33.127 has been assigned a threat score of 110/100 (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

172.98.33.127 is registered in Dallas, United States, operating on the network of LayerSwitch. 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. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. 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. At 110/100, this is an extremely high-risk address. All traffic should be considered hostile.

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

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

💡 Passive DNS for Threat Hunting

Passive DNS databases record historical DNS resolution data, enabling analysts to track domain changes, identify related infrastructure, and discover malicious domains sharing hosting with known threats. This historical context is invaluable for threat investigation.

🔍 Check Any IP Address

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