Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1E1C430E010BA3B55B79354FD71CB2E43618245A7520E0917BC8BBBADEFDA4C9620DE |
|
CONTENT
ssdeep
|
96:n0bZ7XmVftDyEwpQTfkivGhBKZTlksf7zDnN+WV9CYga:0bpAP2QTckGhEw1w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc33476762c552c |
|
VISUAL
aHash
|
383c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e9e1e9b37b |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
830b9ec486a3d3d6,ba12a656aa2ab2a2,c9c9e9e9e1e9b37b,01010229cdc12920 |
Fake Microsoft site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Malicious code is obfuscated using 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)