
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 8 | 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 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 192.126.156.233 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 1344 | Unknown | Low | Service on port 1344 |
| 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 |
| 9909 | Unknown | Low | Service on port 9909 |
| 52931 | Unknown | Low | Service on port 52931 |
| CVE ID | Link |
|---|---|
| CVE-2025-54574 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2019-12525 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2019-12529 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2019-18678 | NVD → |
| CVE-2020-8450 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2019-12526 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2016-10003 | NVD → |
| CVE-2019-12521 | NVD → |
🔴 This host has 56 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 This volume strongly suggests severely outdated software.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.
192.126.156.233 has been assigned a threat score of 105/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
The following attack categories were identified:
192.126.156.233 is registered in Seattle, United States, operating on the network of EliteWork LLC. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. Our records show 138 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. 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.
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.
Correlating logs across web servers, firewalls, DNS, and authentication systems reveals attack patterns invisible in individual log sources. Modern SIEM platforms use statistical analysis to connect related events across time and systems.