
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 3 | Medium-risk: admin panels, config files | +30 | |
| 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: 6 | Medium-risk: admin panels, config files | +60 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 156.230.255.99 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 3128 | Unknown | Low | Service on port 3128 |
| 8080 | HTTP-Alt | Low | HTTP alternative port — often used for admin panels or proxies |
| 8800 | Unknown | Low | Service on port 8800 |
| CVE ID | Link |
|---|---|
| CVE-2023-49285 | NVD → |
| CVE-2023-46848 | NVD → |
| CVE-2026-33515 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2026-33526 | NVD → |
| CVE-2026-32748 | NVD → |
| CVE-2024-23638 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2024-25111 | NVD → |
🔴 This host has 24 known CVEs associated with its exposed services. This volume strongly suggests severely outdated software. Review each CVE in the NVD database.
Data source: Shodan InternetDB. Scanned independently of abuse.mom.
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.
156.230.255.99 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:
The address 156.230.255.99 originates from New York, United States, operating on the network of DynaNode LLC. It was identified through automated analysis of incoming network traffic across monitored endpoints. Over a period of 2 days, this IP generated 2 malicious requests, averaging approximately 1 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. United States currently accounts for 198 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.
Command injection occurs when attackers insert operating system commands through application inputs. Successful exploitation grants direct server access, enabling data theft, malware installation, and lateral movement across networks.
Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.