
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 2 | High-risk paths: shells, RCE vectors, exploits | +50 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Imported from old blocklist | Behavioral anomaly detected by automated analysis | +0 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 172.80.56.153 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 |
|---|---|---|---|
| 22 | SSH | Low | Secure Shell — common brute force target for remote access |
| 6666 | Unknown | Low | Service on port 6666 |
| 7777 | Unknown | Low | Service on port 7777 |
| 8888 | HTTP-Alt | Low | Service on port 8888 |
| 9999 | Unknown | Low | Service on port 9999 |
| 54022 | Unknown | Low | Service on port 54022 |
| CVE ID | Link |
|---|---|
| CVE-2021-28116 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2019-12522 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2018-19131 | NVD → |
| CVE-2020-25097 | NVD → |
| CVE-2016-4052 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2020-15811 | NVD → |
| CVE-2019-18678 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2018-1000024 | NVD → |
| CVE-2016-4555 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2019-12529 | NVD → |
| CVE-2016-4556 | NVD → |
| CVE-2016-10003 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2016-4051 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2019-13345 | NVD → |
🔴 This host has 67 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 This volume strongly suggests severely outdated software.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.
172.80.56.153 has been assigned a threat score of 85/100 (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:
172.80.56.153 is registered in Los Angeles, United States, operating on the network of eSited Solutions. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 1 days, this IP generated 3 malicious requests, averaging approximately 3 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. Our records show 112 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. A threat score of 85/100 places this IP in the high-risk category. Blocking at the firewall level is 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.
XXE vulnerabilities in XML parsers allow attackers to read local files, perform SSRF, and execute denial of service attacks. Many legacy applications and APIs remain vulnerable to XXE due to insecure default XML parser configurations.
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.