IP Threat Report
162.223.122.111
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 7 | Medium-risk: admin panels, config files | +60 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Danger medium hits: 3 | Medium-risk: admin panels, config files | +30 | |
| Danger medium hits: 6 | Medium-risk: admin panels, config files | +60 |
Observed Activity
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Timeline
Network Provider
Recommendations
Actions taken & recommended
- IP 162.223.122.111 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
🔎 Directory Scan Defense
IP 162.223.122.111 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
Open Ports & Services
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 4444 | Unknown | Low | Service on port 4444 |
| 8000 | Unknown | Low | Service on port 8000 |
| CVE ID | Link |
|---|---|
| CVE-2025-62168 | NVD → |
| CVE-2024-25111 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2022-41318 | NVD → |
🔴 Security scanning identified 28 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.
Data source: Shodan InternetDB. Scanned independently of abuse.mom.
Blacklist Status (DNSBL)
This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.
Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.
Threat Analysis
162.223.122.111 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:
📊 Threat Analysis
Our monitoring infrastructure has identified 162.223.122.111, geolocated to Los Angeles, United States, operating on the network of Sprious LLC, as a source of suspicious network activity. Over a period of 9 days, this IP generated 4 malicious requests, averaging approximately 0.4 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. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. United States currently accounts for 200 blocked IPs in our database, making it a significant source of malicious traffic. At 105/100, this is an extremely high-risk address. All traffic should be considered hostile.
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.
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💡 Brute Force Attack Mechanics
Brute force attacks systematically try username and password combinations to gain unauthorized access. Modern attacks leverage credential databases from previous breaches, testing millions of combinations using distributed botnets across multiple IP addresses.
💡 Autonomous System Analysis
Analyzing attack patterns at the AS (Autonomous System) level reveals which networks harbor the most malicious activity. Some ASes have abuse rates orders of magnitude higher than average, indicating lax enforcement of acceptable use policies.