ABUSE.MOM
THREAT REPORT

IP Threat Report
167.160.70.160

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 13:24:41
First seen: 2026-03-28 03:00:06
Last seen: 2026-04-15 02:00:07
105

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 105/100. Total malicious requests observed: 2.

DANGER_PATHRATIO_404REDIRECT_PROBEREFERER
01

Geolocation & Classification

IP Address
167.160.70.160
Type
Residential
Country
🇺🇸 United States
City
Los Angeles
ISP
Sprious LLC
Organization
Blazing SEO, LLC
Autonomous System
AS64267 Sprious LLC
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 3Medium-risk: admin panels, config files+30
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
Danger medium hits: 7Medium-risk: admin panels, config files+60
Σ = 135
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

2026-03-28 03:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 3 (+30), 404 ratio 40-60% (+15), Probe pattern 302->404 same path (+20)
2026-04-15 02:00:07
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

Sprious LLC
AS64267 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 167.160.70.160 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 167.160.70.0/24
  • 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 167.160.70.160 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

07

Neighbors in 167.160.70.0/24

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 (1)
PortServiceRiskDescription
4444UnknownLowService on port 4444
KNOWN VULNERABILITIES (CVE) (27)
CVE IDLink
CVE-2023-49288NVD →
CVE-2021-28116NVD →
CVE-2025-59362NVD →
CVE-2024-25111NVD →
CVE-2021-33620NVD →
CVE-2023-49286NVD →
CVE-2024-25617NVD →
CVE-2025-62168NVD →
CVE-2025-54574NVD →
CVE-2021-28651NVD →
CVE-2023-49285NVD →
CVE-2021-46784NVD →
CVE-2021-31806NVD →
CVE-2023-46847NVD →
CVE-2021-28662NVD →
CVE-2022-41317NVD →
CVE-2023-50269NVD →
CVE-2023-46724NVD →
CVE-2023-46728NVD →
CVE-2024-37894NVD →
CVE-2024-45802NVD →
CVE-2021-31807NVD →
CVE-2023-46846NVD →
CVE-2021-31808NVD →
CVE-2023-5824NVD →
+2 more

🔴 Security scanning identified 27 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.

DETECTED TECHNOLOGIES
squid-cache:squid:4.14
Hostnames: host-167-160-70-160.static.sprious.com
PTR: host-167-160-70-160.static.sprious.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.

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

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

10

Threat Analysis

167.160.70.160 has been assigned a threat score of 105/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

IP address 167.160.70.160 has been traced to Los Angeles, United States, operating on the network of Sprious LLC. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 17-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 directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. With 204 flagged addresses, United States represents a significant presence in our threat database. 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.

11

Related Threats

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🏢 Same network: AS64267

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12

Security Intelligence

💡 Vulnerability Scanning Explained

Vulnerability scanning is the automated process of probing web applications for known weaknesses. Attackers use tools like Nuclei, Nikto, and ZAP to test thousands of hosts per hour, looking for exposed configuration files, outdated software, and default credentials.

💡 IP Geolocation Accuracy Limitations

IP geolocation databases provide approximate locations with varying accuracy. City-level geolocation is typically 50-80% accurate, while country-level exceeds 95%. VPNs, proxies, and mobile networks further reduce reliability, making geolocation a useful but imperfect intelligence signal.

🔍 Check Any IP Address

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