
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 4 | Medium-risk: admin panels, config files | +40 | |
| 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 45.33.156.122 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 |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 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 |
| 52931 | Unknown | Low | Service on port 52931 |
| CVE ID | Link |
|---|---|
| CVE-2019-18677 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2020-25097 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2016-3948 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2019-12522 | NVD → |
| CVE-2018-19132 | NVD → |
| CVE-2015-5400 | NVD → |
| CVE-2013-0189 | NVD → |
| CVE-2019-18860 | NVD → |
| CVE-2016-4555 | NVD → |
| CVE-2014-7141 | NVD → |
| CVE-2016-2569 | NVD → |
| CVE-2016-4553 | NVD → |
| CVE-2016-2390 | NVD → |
| CVE-2014-3609 | NVD → |
| CVE-2012-2213 | NVD → |
| CVE-2019-12528 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2014-0128 | NVD → |
| CVE-2016-4051 | NVD → |
| CVE-2020-8450 | NVD → |
🔴 This host has 74 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 This volume strongly suggests severely outdated software.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.
45.33.156.122 has been assigned a threat score of 85/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.
The following attack categories were identified:
45.33.156.122 is registered in Los Angeles, United States, operating on the network of QuickPacket, LLC. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. During its 1-day observation window, we recorded 1 hostile requests from this IP — roughly 1 per day on average. 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. With 124 flagged addresses, United States represents a significant presence in our threat database. The score of 85/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.
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.
RCE vulnerabilities allow attackers to execute arbitrary code on target servers. These critical flaws often arise from deserialization bugs, template injection, or file upload vulnerabilities, and represent the highest severity class of web application weaknesses.
Honeypots are decoy systems designed to attract and study attackers. Networks of honeypots provide early warning of new attack campaigns, reveal attacker tools and techniques, and generate high-confidence threat intelligence with minimal false positives.