Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1395385F180669633078AF2D0B636971F75D3878FE64307A1A6EC432D2ADADD2DD27418 |
|
CONTENT
ssdeep
|
1536:LygMkvdq3FGMq6COFJQdC3gfNgMkvdq3FGMq6COd28BGVtRFJDCthBMUogEcxUrq:OemZk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a6467336c9c3167 |
|
VISUAL
aHash
|
003c141c340c3c3c |
|
VISUAL
dHash
|
496875b16dd97161 |
|
VISUAL
wHash
|
243c3c1c343c7e7c |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
496875b16dd97161 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)