ABUSE.MOM
THREAT REPORT

IP Threat Report
31.58.111.144

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 04:15:57
First seen: 2026-04-19 00:00:05
Last seen: 2026-04-19 00:00:05
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 1.

BOT_UADANGER_PATH
01

Geolocation & Classification

IP Address
31.58.111.144
Type
Residential
Country
🇲🇽 Mexico
City
Mexico City
ISP
Latitude.sh
Organization
Unknown
Autonomous System
AS396356 Latitude.sh
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: crawlerKnown bot/crawler User-Agent detected+40
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Σ = 65
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

2026-04-19 00:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: crawler (+40), Danger strong hits: 1 (+25)
2026-04-19 00:00:05
Last malicious request observed
Total score reached: 65/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Latitude.sh
AS396356 · 🇲🇽 Mexico
06

Recommendations

Actions taken & recommended

  • IP 31.58.111.144 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 31.58.111.144: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

08

Open Ports & Services

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

OPEN PORTS (1)
PortServiceRiskDescription
60000UnknownLowService on port 60000

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
zen.spamhaus.org
✓ 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

31.58.111.144 has been assigned a threat score of 65/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

31.58.111.144 is registered in Mexico City, Mexico, operating on the network of Latitude.sh. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~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 User-Agent manipulation, switching between different browser identities or sending empty headers. Our records show 101 malicious IPs originating from Mexico, positioning it as a significant contributor to global threat activity. 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.

11

Related Threats

🇲🇽 Top threats from Mexico

158.23.144.198 (280)68.155.145.150 (280)68.155.146.66 (280)34.51.104.11 (263)104.243.245.4 (255)View all →

🏢 Same network: AS396356

173.239.224.82 (320)185.223.152.42 (320)185.223.152.45 (320)185.223.152.61 (305)185.223.152.53 (305)View all →
12

Security Intelligence

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

💡 Supply Chain Security Challenges

Attacks targeting software supply chains compromise trusted update mechanisms to distribute malware at scale. Dependency confusion, typosquatting in package registries, and compromised build pipelines threaten even organizations with strong direct security postures.

🔍 Check Any IP Address

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