ABUSE.MOM
THREAT REPORT

IP Threat Report
172.98.33.208

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 11:50:03
First seen: 2026-02-17 17:25:08
Last seen: 2026-02-17 17:26:16
75

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 75/100. Total malicious requests observed: 3.

BOT_UADANGER_PATHIMPORT
01

Geolocation & Classification

IP Address
172.98.33.208
Type
Residential
Country
🇺🇸 United States
City
Dallas
ISP
Latitude.sh
Organization
LayerSwitch, Inc
Autonomous System
AS396356 Latitude.sh
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Danger medium hits: 1Medium-risk: admin panels, config files+10
Imported from old blocklistBehavioral anomaly detected by automated analysis+0
Σ = 75
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

2026-02-17 17:25:08
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: 1 (+25), Danger medium hits: 1 (+10)
2026-02-17 17:26:16
Last malicious request observed
Total score reached: 75/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Latitude.sh
AS396356 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 172.98.33.208 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

🤖 Bot Detection

Address UA spoofing from 172.98.33.208: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

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
Spamhaus ZEN

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

10

Threat Analysis

172.98.33.208 has been assigned a threat score of 75/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

IP address 172.98.33.208 has been traced to Dallas, United States, operating on the network of Latitude.sh. Our threat detection systems have flagged this address based on observed malicious behavior patterns. The address has been active for 1 days in our monitoring system, producing 3 flagged requests at a rate of ~3/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. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. United States currently accounts for 222 blocked IPs in our database, making it a significant source of malicious traffic. The score of 75/100 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

💡 User-Agent Analysis Techniques

Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.

💡 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.

🔍 Check Any IP Address

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