Security Scan Report: docusign-cibc-findmypayments.ph

Redirected to:
https://docusign-cibc-findmypayments.ph/
Submitted: Sep 4, 2026, 5:14:22 PMCompleted: Sep 4, 2026, 5:15:32 PMpubliccompleted

Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is docusign-cibc-findmypayments.ph and was registered 19 years ago.

Submitted URL: http://docusign-cibc-findmypayments.ph/

Effective URL:

https://docusign-cibc-findmypayments.ph/
Redirected

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

Page shows no phishing, malware, or credential collection; low risk based on lack of malicious signals.

Safety Factors
Long‑standing domain registration
Presence of legal pages
No malicious JavaScript or IDS alerts
Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(84%)

Domain Information

The domain name 'docusign-cibc-findmypayments.ph' uses the Philippine country-code top-level domain (.ph) and has no subdomain. The second-level label 'docusign-cibc-findmypayments' is 28 characters long containing seven vowels alongside 19 consonants; it also includes 2 hyphens. Word splitting yields eight words: do, cu, sign, c, ibc, find, my, payments. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://docusign-cibc-findmypayments.ph/

Page Load Overview

0.60s
Total Load Time
5
HTTP Requests
3
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:388 chars
Detector Agreement:67%

Website Classification

Primary Category

entertainment media84% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
84%
real estate property
56%
news media journalism
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
345.79.222.138Atlanta, Georgia, United States
AS63949Akamai Connected Cloud
1172.234.216.100Chicago, Illinois, United States
AS63949Akamai Connected Cloud
1172.232.7.47Chicago, Illinois, United States
AS63949Akamai Connected Cloud
53--

Page Statistics

5
Requests
3
Unique Domains
15.9 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11FA1FA747B42B12957E611EAB57BA71C363A8224340B4022E6AEFCC53C6095B8497FC6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nIzJBd5pAJ9/OEeg2J9LCBCfq/0CqR4oDt/7QYX/EFbjfq97BoL:IzJBd5pAKEj8qCfY0hBckMljfAyL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4861:sCAiIBKEgQSCAIhCUAkQBII0LhAhgAGUDAYACAVBAAwSRUYkA4UBAAoQIQICMSAoRCDAIAUIISBBQgchACMIJBERhQASAAgE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:00ffc7ffffffffe7
Perceptual Hash:b63477436343723c
Difference Hash:4d042e000000000c
Wavelet Hash:008181ffc3c3ff00
Color Hash:#80d22d

Other Hashes

Crop Resistant:4d042e000000000c

Scan History

Scan history not available

Unable to load historical scan data