ABUSE.MOM
THREAT REPORT

IP Threat Report
8.229.27.49

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 07:27:44
First seen: 2026-03-02 23:00:06
Last seen: 2026-03-02 23:00:06
165

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 165/100. Total malicious requests observed: 1.

UA_CHANGEDDANGER_PATHBURSTREFERER
01

Geolocation & Classification

IP Address
8.229.27.49
Type
Residential
Country
🇺🇸 United States
City
Monroe
ISP
Google LLC
Organization
Level 3, LLC
Autonomous System
AS396982 Google LLC
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Danger medium hits: 6Medium-risk: admin panels, config files+60
Burst: 16 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 21 req / 10sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Σ = 165
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

2026-03-02 23:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Danger medium hits: 6 (+60), Burst: 16 req / 2s (+35)
2026-03-02 23:00:06
Last malicious request observed
Total score reached: 165/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Google LLC
AS396982 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 8.229.27.49 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 8.229.27.49: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🌊 Traffic Flood Defense

IP 8.229.27.49 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

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

8.229.27.49 has been assigned a threat score of 165/100 (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 AnomalyRequest Flooding

📊 Threat Analysis

Network traffic from 8.229.27.49, located in Monroe, United States, operating on the network of Google LLC, 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 residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The dual attack vectors of User-Agent Anomaly combined with Request Flooding indicate a coordinated assault rather than opportunistic scanning. With 142 flagged addresses, United States represents a significant presence in our threat database. With a threat score of 165/100, 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

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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.

💡 Open Redirect Exploitation

Open redirect vulnerabilities allow attackers to redirect users from trusted domains to malicious sites. While often underestimated, these flaws enable convincing phishing, token theft through redirect-based OAuth flows, and SSRF chains.

🔍 Check Any IP Address

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