ABUSE.MOM
THREAT REPORT

IP Threat Report
167.71.224.199

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 11:15:24
First seen: 2026-03-03 05:00:11
Last seen: 2026-03-03 15:00:05
85

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 85/100. Total malicious requests observed: 2.

UA_CHANGEDREFERERUA_SUSDANGER_PATH
01

Geolocation & Classification

IP Address
167.71.224.199
Type
Hosting
Country
🇮🇳 India
City
Bengaluru
ISP
DigitalOcean, LLC
Organization
DigitalOcean, LLC
Autonomous System
AS14061 DigitalOcean, LLC
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Foreign referer seenReferer from unrelated external domain+10
UA suspicious (short/empty)Behavioral anomaly detected by automated analysis+15
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger medium hits: 2Medium-risk: admin panels, config files+20
Σ = 120
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

2026-03-03 05:00:11
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Foreign referer seen (+10), UA suspicious (short/empty) (+15)
2026-03-03 15:00:05
Last malicious request observed
Total score reached: 85/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

DigitalOcean, LLC
AS14061 · 🇮🇳 India
06

Recommendations

Actions taken & recommended

  • IP 167.71.224.199 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

🤖 Bot Detection

Address UA spoofing from 167.71.224.199: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

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

167.71.224.199 has been assigned a threat score of 85/100 (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:

User-Agent Anomaly

📊 Threat Analysis

Our monitoring infrastructure has identified 167.71.224.199, geolocated to Bengaluru, India, operating on the network of DigitalOcean, LLC, as a source of suspicious network activity. Over a period of 1 days, this IP generated 2 malicious requests, averaging approximately 2 requests per day. This address belongs to a datacenter or cloud hosting provider. Hosting IPs are frequently leveraged by threat actors who rent cheap VPS instances specifically for conducting attacks. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. India currently accounts for 110 blocked IPs in our database, making it a significant source of malicious traffic. A threat score of 85/100 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

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🏢 Same network: AS14061

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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.

💡 GeoIP Blocking Considerations

Blocking traffic from specific countries reduces attack surface but impacts legitimate international users. Effective geo-based policies use tiered approaches — blocking, rate limiting, or requiring additional verification based on risk assessment.

🔍 Check Any IP Address

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