Security Scan Report: opera-wks.awsapps.com

Redirected to:
https://opera-wks.awsapps.com/workdocs/loginv2/index.html#/error?main_...
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Submitted: Aug 17, 2026, 11:04:56 AMCompleted: Aug 17, 2026, 11:06:15 AMpubliccompleted

This website contacted 10 IPs in 1 country across 4 domains to perform 28 HTTP transactions. The main domain is opera-wks.awsapps.com and was registered 17 years ago.

Submitted URL: https://opera-wks.awsapps.com

Effective URL:

https://opera-wks.awsapps.com/workdocs/loginv2/index.html#/error?main_...
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site mimics an Amazon WorkDocs login page, uses heavy JS obfuscation, but lacks credential forms; treat as moderate risk and avoid entering any personal data.

Risk Factors
Brand impersonation of a major service (Amazon WorkDocs)
Highly obfuscated JavaScript code
Unranked domain with no reputation
Safety Factors
Domain age > 17 years (well‑established)
No forms collecting credentials or payment data
No Indicators of Compromise or YARA malware matches
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

WorkDocs SignIn

Scan Type

public

Domain Name Analysis

The domain name 'opera-wks.awsapps.com' uses the commercial generic top-level domain (.com) with subdomain 'opera-wks'. Its registrable label 'awsapps' stretches across 7 characters containing two vowels alongside 5 consonants. Segmentation suggests three words: aw, s, apps. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://opera-wks.awsapps.com

Page Load Overview

4.44s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:387 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
103.160.150.113Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.235.95.215Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
254.239.28.245Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
23.160.150.126Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
216.15.199.131Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2100.49.116.158Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
23.160.150.102Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.160.150.36Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
252.87.52.34Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
216.15.223.25Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2810--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B91401A8ED604F79C539A5068F5254AB53DF71B511EC884789CC1A2BF8BEDCC8872E4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TnljaMZTtR+gqbMZujyIbMZ9R+g0Mr1NOj+xWJxzAFov2dxX+yJMJ6GZ/ZUPbynx:ZwyiTj+IJxz8o+dR+0MJ3ZUjN+N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4317:EgQAgAFKgAYYCAAggAAIiIoAcgQATGAYEACiAEAVAAAoAYCcRAkKAAPABAAcABAChAgRIAggIAGIACAFnAgEOBAATQABCFQW

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:1e3e3c3c18181f0c
Perceptual Hash:9bd43565738c4a9a
Difference Hash:fcfcf079796373d9
Wavelet Hash:1e3e3c3c3c381f2c
Color Hash:#861f93

Scan History

Scan history not available

Unable to load historical scan data