ABUSE.MOM
THREAT REPORT

IP Threat Report
38.34.179.96

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 07:33:42
First seen: 2026-03-31 01:00:06
Last seen: 2026-03-31 01:00:06
105

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 105/100. Total malicious requests observed: 1.

DANGER_PATHRATIO_404REDIRECT_PROBEREFERER
01

Geolocation & Classification

IP Address
38.34.179.96
Type
Residential
Country
🇺🇸 United States
City
Redondo Beach
ISP
Enzu Inc
Organization
Enzu Inc
Autonomous System
AS18978 Enzu Inc
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 6Medium-risk: admin panels, config files+60
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Probe pattern 302->404 same pathBehavioral anomaly detected by automated analysis+20
Foreign referer seenReferer from unrelated external domain+10
Σ = 105
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
Requests shown: 1 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-03-31 01:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 6 (+60), 404 ratio 40-60% (+15), Probe pattern 302->404 same path (+20)
2026-03-31 01:00:06
Last malicious request observed
Total score reached: 105/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Enzu Inc
AS18978 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 38.34.179.96 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Other malicious IPs detected in the same /24 subnet — consider blocking 38.34.179.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Directory Scan Defense

IP 38.34.179.96 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

07

Neighbors in 38.34.179.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

08

Open Ports & Services

Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.

OPEN PORTS (8)
PortServiceRiskDescription
22SSHLowSecure Shell — common brute force target for remote access
8443HTTPS-AltLowService on port 8443
8449UnknownLowService on port 8449
8450UnknownLowService on port 8450
8452UnknownLowService on port 8452
8453UnknownLowService on port 8453
9100UnknownLowService on port 9100
10250UnknownLowService on port 10250
KNOWN VULNERABILITIES (CVE) (2)
CVE IDLink
CVE-2025-59362NVD →
CVE-2025-62168NVD →

🔴 Security scanning identified 2 vulnerability entries on this host. Even a small number of CVEs can represent significant risk. Consult NVD advisories for details.

DETECTED TECHNOLOGIES
openbsd:openssh:9.6p1squid-cache:squid:6.13canonical:ubuntu_linux
Hostnames: 96.179-34-38.rdns.scalabledns.com341836.166876.sys.ipv4.io
PTR: 96.179-34-38.rdns.scalabledns.com

Data source: Shodan InternetDB. Scanned independently of abuse.mom.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

⛔ LISTED
zen.spamhaus.org
✓ Clean
ix.dnsbl.manitu.net
✓ Clean
dnsbl.sorbs.net
✓ Clean
bl.spamcop.net
✓ Clean
dnsbl-1.uceprotect.net
✓ Clean
b.barracudacentral.org
✓ Clean
truncate.gbudb.net
✓ Clean
psbl.surriel.com

Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.

10

Threat Analysis

38.34.179.96 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:

Path Enumeration

📊 Threat Analysis

Our monitoring infrastructure has identified 38.34.179.96, geolocated to Redondo Beach, United States, operating on the network of Enzu Inc, as a source of suspicious network activity. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 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. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. Our records show 173 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. 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.

11

Related Threats

🇺🇸 Top threats from United States

104.28.246.115 (350)104.28.246.113 (340)104.28.246.116 (340)104.28.235.58 (340)104.28.246.122 (340)View all →

🏢 Same network: AS18978

38.127.60.228 (228)5.180.25.146 (210)38.145.203.86 (115)38.145.220.158 (108)45.136.131.58 (105)View all →
12

Security Intelligence

💡 XML External Entity (XXE) Attacks

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.

💡 Privacy-Preserving Threat Detection

Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.

🔍 Check Any IP Address

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