Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FC26A9111449A3F535341C82313DB12329182C2DFCF6AAD2BE856E1EEDED30DE2A65F |
|
CONTENT
ssdeep
|
384:F2s0cFibE+17SECbPBz+Ahf5XlIugDdaycbCSDa9tABNsGCJFM:wuibp1+EkPJ+Of51IFDAyWCGI2KFFM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c44ec44e6cb35cb3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
616994200db08e8c |
|
VISUAL
wHash
|
39bd00000000ffff |
|
VISUAL
colorHash
|
31000008007 |
|
VISUAL
cropResistant
|
8c4c4ccccc8c968e,dbdbaaaad4d4aaaa,616994200db08e8c,3f5fbf57d290d4ba |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)