Security Scan Report: mysalita.se

Redirected to:
https://my.salita.no/nb/no/auth/sign_in
Site favicon
Submitted: Oct 5, 2026, 2:10:26 AMCompleted: Oct 5, 2026, 2:12:38 AMpubliccompleted

This website contacted 20 IPs in 2 countries across 10 domains to perform 383 HTTP transactions. The main domain is my.salita.no and was registered 18 years ago.

Submitted URL: https://mysalita.se

Effective URL:

https://my.salita.no/nb/no/auth/sign_in
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Self-branded Salita sign-in page reached via a redirect from a 6-day-old domain. No impersonation, no threat-intel or malware hits, no exfiltration; only a login form on a domain with no published reputation. Age of the entry domain does not describe this page.

Risk Factors (3)
Cross-domain redirect from a 6-day-old entry domain (mysalita.se) to the judged login page
Password login form on a domain whose age and reputation are not published in this scan
Scanner flagged the password field as present in HTML but not visible in the screenshot
Safety Factors (4)
Page presents its own brand (Salita) on its own salita.no domain — no impersonation of another entity
Cross-origin form post is a same-brand authentication flow, not exfiltration; no page script contacted an external domain
No Indicators of Compromise, no JavaScript malware, no known phishing kit, no network IDS alerts
Content reads as a real service site: open marketplace for interpreter services with a corporate address in Oslo
Domain age information unavailable

Details

Page Title

Salita - En ny standard for tolketjenester

Scan Type

public

Domain Name Analysis

The domain name 'mysalita.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The core label 'mysalita' covers 8 characters holding three vowels versus five consonants. Tokenizing the label suggests 4 words: my, sal, it, a. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mysalita.se

Page Load Overview

75.16s
Total Load Time
8.3 MB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Text Length:224 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2215.197.129.158Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19194.63.248.52Norway
AS12996Domeneshop AS
19104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19142.251.13.94Google · CDNUnited States
AS15169Google LLC
1975.2.43.161Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19142.251.110.97Google · CDNUnited States
AS15169Google LLC
19172.217.114.4Google · CDNUnited States
AS15169Google LLC
19142.251.155.119Google · CDNUnited States
AS15169Google LLC
19104.18.19.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1952.222.136.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
38320--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DDC41B239E0B1A572F3E2C7796DE758CA21CD3838412CAE4F9ED5D8C8B4D399119726C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:lZRZUDwCAT/+E1sTTPmAbmStAtGau4NPFPgfitEDqjRw/qzJD:M5tAtYfi9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:581796:EpnBDAOSEA2OEgABCgQXJTJCCQVGASuj0OQe2zLZggAIUCtKJMtSoMIr4Bw0mcoMwhBBoQAHryQqgQkABDECVmUAChABIkhE

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:ffffffffffffff00
Perceptual Hash:d3a25c8c08f722f7
Difference Hash:0870686820140230
Wavelet Hash:ff3f273f3c000000
Color Hash:#522d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data