ABUSE.MOM
THREAT REPORT

IP Threat Report
104.223.33.99

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-30 01:15:37
First seen: 2026-07-17 09:25:55
Last seen: 2026-07-30 01:09:52
130

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 130/100. Total malicious requests observed: 864.

DANGER_PATHRATIO_404REDIRECT_PROBEREFERERUA_CHANGED
01

Geolocation & Classification

IP Address
104.223.33.99
Type
Hosting
Country
🇺🇸 United States
City
Los Angeles
ISP
HostPapa
Organization
HostPapa
Autonomous System
AS36352 HostPapa
Hit Count
864
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Danger medium hits: 10Medium-risk: admin panels, config files+60
Danger medium hits: 12Medium-risk: admin panels, config files+60
Danger medium hits: 14Medium-risk: admin panels, config files+60
Danger medium hits: 16Medium-risk: admin panels, config files+60
Danger medium hits: 18Medium-risk: admin panels, config files+60
Danger medium hits: 2Medium-risk: admin panels, config files+20
Danger medium hits: 20Medium-risk: admin panels, config files+60
Danger medium hits: 22Medium-risk: admin panels, config files+60
Danger medium hits: 24Medium-risk: admin panels, config files+60
Danger medium hits: 26Medium-risk: admin panels, config files+60
Danger medium hits: 28Medium-risk: admin panels, config files+60
Danger medium hits: 30Medium-risk: admin panels, config files+60
Danger medium hits: 32Medium-risk: admin panels, config files+60
Danger medium hits: 34Medium-risk: admin panels, config files+60
Danger medium hits: 36Medium-risk: admin panels, config files+60
Danger medium hits: 4Medium-risk: admin panels, config files+40
Danger medium hits: 6Medium-risk: admin panels, config files+60
Danger medium hits: 8Medium-risk: admin panels, config files+60
Foreign refererReferer from unrelated external domain+10
Probe 302→404Behavioral anomaly detected by automated analysis+20
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 1090
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

2026-07-17 09:25:55
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), Danger medium hits: 10 (+60), Danger medium hits: 12 (+60)
2026-07-30 01:09:52
Last malicious request observed
Total score reached: 130/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

HostPapa
AS36352 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 104.223.33.99 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 104.223.33.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Path Enumeration Protection

Block scanning from 104.223.33.99: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🤖 User-Agent Anomaly Defense

IP 104.223.33.99 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

07

Neighbors in 104.223.33.0/24

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
spam.dnsbl.sorbs.net
✓ Clean
zen.spamhaus.org
✓ Clean
cbl.abuseat.org
✓ Clean
bl.spamcop.net
✓ Clean
bl.blocklist.de
✓ Clean
b.barracudacentral.org
✓ Clean
dnsbl.dronebl.org
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

104.223.33.99 has been assigned a threat score of 130/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.

The following attack categories were identified:

Path EnumerationUser-Agent Anomaly

📊 Threat Analysis

Threat intelligence analysis has linked 104.223.33.99 to malicious activity originating from Los Angeles, United States, operating on the network of HostPapa. The address has been under observation since its initial detection. The address has been active for 12 days in our monitoring system, producing 864 flagged requests at a rate of ~72/day. Classified as a hosting IP, this address likely runs on a rented server or cloud instance. Attackers prefer datacenter IPs for their high bandwidth and disposable nature. The dual attack vectors of Path Enumeration combined with User-Agent Anomaly indicate a coordinated assault rather than opportunistic scanning. Our records show 145 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. At 130/100, this is an extremely high-risk address. All traffic should be considered hostile.

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

🇺🇸 Top threats from United States

104.28.246.115 (350)104.28.214.122 (350)103.168.66.237 (340)34.187.158.4 (340)34.186.187.208 (340)View all →

🏢 Same network: AS36352

107.175.213.192 (220)104.168.56.78 (205)192.3.177.44 (130)192.161.170.98 (130)107.172.170.111 (130)View all →
12

Security Intelligence

💡 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.

💡 Machine Learning in Threat Detection

Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.

🔍 Check Any IP Address

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