Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC63D8316844AB3702E351C29D68FB5D73C5A385CF224F91A9F8463AABD7FB19C43099 |
|
CONTENT
ssdeep
|
1536:UMfzjaOTDGCa29yj1jmcQv1PaQ5BPwJPxV4VFODVeQ9AaVlOwYrk+j:UMfzj4j1jmcQv1PauBPwJPxaM9AaVlpC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73939c664c3c738 |
|
VISUAL
aHash
|
00003c3c3c3c3c00 |
|
VISUAL
dHash
|
cab8796064616997 |
|
VISUAL
wHash
|
001c7e7e7e7e7c00 |
|
VISUAL
colorHash
|
39201010200 |
|
VISUAL
cropResistant
|
7c9082c98997878c,cab8796064616997 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 271 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)