Security Scan Report: www.egencia.se

Redirected to: https://www.egencia.se/auth/v1/login?call-back-url=aHR0cHM6Ly93d3cuZWdlbmNpYS5zZS90cmlwLXdlYmFwcC8%2FaXRlbV9pZD02OWEzMGEwZDgwZThjNzU5MjhjOTU4YjQ%3D&isRedirected=true

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Submitted: Mar 4, 2026, 6:14:59 PMCompleted: Mar 4, 2026, 6:16:13 PMpubliccompleted
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Summary

This website contacted 38 IPs in 6 countries across 32 domains to perform 98 HTTP transactions. The main domain is egencia.se and was registered NaN years ago.

Submitted URL: https://www.egencia.se/auth/v1/login?call-back-url=aHR0cHM6Ly93d3cuZWdlbmNpYS5zZS90cmlwLXdlYmFwcC8%2FaXRlbV9pZD02OWEzMGEwZDgwZThjNzU5MjhjOTU4YjQ%3D

Effective URL: https://www.egencia.se/auth/v1/login?call-back-url=aHR0cHM6Ly93d3cuZWdlbmNpYS5zZS90cmlwLXdlYmFwcC8%2FaXRlbV9pZD02OWEzMGEwZDgwZThjNzU5MjhjOTU4YjQ%3D&isRedirected=trueRedirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Page harvests login credentials via JavaScript exfiltration; treat as credential phishing.

Risk Factors
Credential exfiltration via JavaScript to external domain
Login form collecting email/username and password
External transmission of credentials
Domain age information unavailable

Details

Page Title

Logga in | Egencia

Scan Type

public

Language

🇸🇪

Swedish

(43% confidence)

Category

social_media

(50%)

Domain Information

Domain 'www.egencia.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The registrable portion 'egencia' spans 7 characters split between four vowels and three consonants. Splitting it apart reveals 3 words: e, gen, cia. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.egencia.se/auth/v1/login?call-back-url=aHR0cHM6Ly93d3cuZWdlbmNpYS5zZS90cmlwLXdlYmFwcC8%2FaXRlbV9pZD02OWEzMGEwZDgwZThjNzU5MjhjOTU4YjQ%3D

Page Load Overview

12.27s
Total Load Time
98
HTTP Requests
32
Domains
1.5 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:43%
Script Type:Latin
Text Length:4,446 chars
Detector Agreement:50%

Website Classification

Primary Category

social_media50% confidence
Type: spa
Method: structural

All Detected Categories

social_media
50%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24150.171.22.12United States
AS8075Microsoft Corporation
2216.58.209.193United States
AS15169Google LLC
2104.18.9.247United States
AS13335Cloudflare, Inc.
254.75.111.174Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
234.36.213.229Kansas City, Missouri, United States
AS396982Google LLC
2216.58.209.194United States
AS15169Google LLC
2104.17.73.206United States
AS13335Cloudflare, Inc.
252.17.83.122Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
254.220.215.229Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
2104.17.70.206United States
AS13335Cloudflare, Inc.
9838--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18684F61BB454932AE6D38749E6B66E993414984FBC739CDCF28D82780FCD7F60D92209

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:x8xzcUB+phZegT5Z4Ii829oP8niQ5otuZlkENrfcVLyZmOK5HD5ytK:xWoU8phkgTL4m2ANuHgOK5jk0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:386743:CqJMOTgGoAEIcL8DkmBoAAaTCKRcAIEIUBERN4CQQYmGIlABKlsDEg9gE2gnGBYBlS4aBUhuFBREmHYxAUBnGGA2BxTB0gAG

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:183c3c3c3c180000
Perceptual Hash:d9d977c43d232622
Difference Hash:303030323231aa07
Wavelet Hash:3c3c3c3c3c3c0080
Color Hash:#e06c9a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data