
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 6 | 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 | |
| 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 107.175.203.193 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 |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 3128 | Unknown | Low | Service on port 3128 |
| 8000 | Unknown | Low | Service on port 8000 |
| 8080 | HTTP-Alt | Low | HTTP alternative port — often used for admin panels or proxies |
| 8800 | Unknown | Low | Service on port 8800 |
| 21242 | Unknown | Low | Service on port 21242 |
| 52931 | Unknown | Low | Service on port 52931 |
| 52951 | Unknown | Low | Service on port 52951 |
| CVE ID | Link |
|---|---|
| CVE-2025-54574 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2019-12523 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2016-10002 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2019-18679 | NVD → |
| CVE-2018-19131 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2019-12528 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2019-12529 | NVD → |
| CVE-2018-1000024 | NVD → |
| CVE-2020-25097 | NVD → |
| CVE-2018-19132 | NVD → |
🔴 Security scanning identified 56 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 This volume strongly suggests severely outdated software.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.
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.
107.175.203.193 has been assigned a threat score of 105/100 (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:
Threat intelligence analysis has linked 107.175.203.193 to malicious activity originating from Buffalo, United States, operating on the network of HostPapa. The address has been under observation since its initial detection. During its 25-day observation window, we recorded 5 hostile requests from this IP — roughly 0.2 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. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. With 201 flagged addresses, United States represents a significant presence in our threat database. A score of 105/100 places this address in the top tier of severity. Block and investigate any historical connections.
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.
WAFs inspect HTTP traffic to block common attacks but require careful tuning. Overly aggressive rules cause false positives while permissive configurations miss attacks. Modern WAFs combine signature matching with behavioral analysis and machine learning.