ABUSE.MOM
THREAT REPORT

IP Threat Report
23.94.230.228

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 08:59:09
First seen: 2026-03-10 20:00:06
Last seen: 2026-03-29 04:00:06
105

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 105/100. Total malicious requests observed: 3.

DANGER_PATHRATIO_404REDIRECT_PROBEREFERER
01

Geolocation & Classification

IP Address
23.94.230.228
Type
Residential
Country
🇺🇸 United States
City
Los Angeles
ISP
HostPapa
Organization
Unknown
Autonomous System
AS36352 HostPapa
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 8Medium-risk: admin panels, config files+60
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Probe pattern 302->404 same pathBehavioral anomaly detected by automated analysis+20
Foreign referer seenReferer from unrelated external domain+10
Σ = 105
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

2026-03-10 20:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 8 (+60), 404 ratio 40-60% (+15), Probe pattern 302->404 same path (+20)
2026-03-29 04:00:06
Last malicious request observed
Total score reached: 105/100
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 23.94.230.228 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 23.94.230.0/24
  • 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 23.94.230.228: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

07

Neighbors in 23.94.230.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

08

Open Ports & Services

Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.

OPEN PORTS (7)
PortServiceRiskDescription
80HTTPLowHTTP web server — standard web traffic
4444UnknownLowService on port 4444
7777UnknownLowService on port 7777
12345UnknownLowService on port 12345
36505UnknownLowService on port 36505
44444UnknownLowService on port 44444
55555UnknownLowService on port 55555
KNOWN VULNERABILITIES (CVE) (8)
CVE IDLink
CVE-2019-9511NVD →
CVE-2025-23419NVD →
CVE-2019-9513NVD →
CVE-2019-9516NVD →
CVE-2023-44487NVD →
CVE-2019-20372NVD →
CVE-2021-3618NVD →
CVE-2021-23017NVD →

🔴 This host has 8 known CVEs associated with its exposed services. Multiple vulnerabilities suggest gaps in patch management. Review each CVE in the NVD database.

DETECTED TECHNOLOGIES
f5:nginx:1.16.0
Hostnames: 23-94-230-228-host.colocrossing.com
PTR: 23-94-230-228-host.colocrossing.com

Data source: Shodan InternetDB. Scanned independently of abuse.mom.

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

23.94.230.228 has been assigned a threat score of 105/100 (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 Enumeration

📊 Threat Analysis

The address 23.94.230.228 originates from Los Angeles, United States, operating on the network of HostPapa. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 3 malicious requests from this address across a 18-day span, reflecting a sustained attack cadence of ~0.2 requests per day. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. United States currently accounts for 204 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 105/100, 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

Related Threats

🇺🇸 Top threats from United States

104.28.246.115 (350)104.28.246.113 (340)104.28.246.116 (340)104.28.235.58 (340)104.28.246.122 (340)View all →

🏢 Same network: AS36352

23.94.40.119 (318)172.245.95.40 (280)23.94.28.183 (255)192.227.215.35 (255)172.245.214.62 (245)View all →
12

Security Intelligence

💡 Credential Stuffing at Scale

Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.

💡 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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