IP Threat Report
158.174.135.188
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA bot: crawler | Known bot/crawler User-Agent detected | +40 | |
| UA changed for same IP | Multiple User-Agents — bot rotation technique | +25 |
Observed Activity
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Timeline
Network Provider
Recommendations
Actions taken & recommended
- IP 158.174.135.188 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Report abuse to the network provider via their abuse contact
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
🤖 Bot Detection
Address UA spoofing from 158.174.135.188: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
Open Ports & Services
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 |
| 443 | HTTPS | Low | HTTPS web server — encrypted web traffic |
| 2223 | Unknown | Low | Service on port 2223 |
| 2224 | Unknown | Low | Service on port 2224 |
| 8006 | Unknown | Low | Service on port 8006 |
| 8899 | Unknown | Low | Service on port 8899 |
| CVE ID | Link |
|---|---|
| CVE-2022-26377 | NVD → |
| CVE-2006-20001 | NVD → |
| CVE-2024-39573 | NVD → |
| CVE-2012-3526 | NVD → |
| CVE-2022-23943 | NVD → |
| CVE-2024-38472 | NVD → |
| CVE-2012-4001 | NVD → |
| CVE-2022-31813 | NVD → |
| CVE-2022-28330 | NVD → |
| CVE-2022-29404 | NVD → |
| CVE-2024-43394 | NVD → |
| CVE-2023-25690 | NVD → |
| CVE-2025-58098 | NVD → |
| CVE-2024-40898 | NVD → |
| CVE-2024-38475 | NVD → |
| CVE-2024-38474 | NVD → |
| CVE-2022-28615 | NVD → |
| CVE-2022-22719 | NVD → |
| CVE-2022-22720 | NVD → |
| CVE-2011-2688 | NVD → |
| CVE-2025-55753 | NVD → |
| CVE-2013-4365 | NVD → |
| CVE-2024-47252 | NVD → |
| CVE-2025-49630 | NVD → |
| CVE-2013-2765 | NVD → |
🔴 This host has 54 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 This volume strongly suggests severely outdated software.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.
Blacklist Status (DNSBL)
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.
Threat Analysis
158.174.135.188 has been assigned a threat score of 65/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.
The following attack categories were identified:
📊 Threat Analysis
Network traffic from 158.174.135.188, located in Staffanstorp, Sweden, operating on the network of Bahnhof Internet, has been classified as malicious by our automated threat scoring engine. During its 30-day observation window, we recorded 2 hostile requests from this IP — roughly 0.1 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. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. Sweden currently accounts for 106 blocked IPs in our database, making it a significant source of malicious traffic. The score of 65/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.
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.
Related Threats
Security Intelligence
💡 TLS Fingerprinting (JA3/JA4)
TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.
💡 Data Breach Impact Assessment
The impact of data breaches extends beyond immediate financial losses. Regulatory fines, legal liability, reputational damage, and customer churn create long-term costs that often exceed the direct costs of incident response and remediation.