Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBE11FF0D044ED3B435386D5A7BA6F4BB7A1C389CF030A4463F4836B5BDADA0CA1559A |
|
CONTENT
ssdeep
|
96:Tk6onbzDJ1tkztt8v67McdwkFh4GXOHFTiXBX/Eyt26fqzR:Q6onbzDJ1Utt8iIGwFYXsyAaq9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece413931bbc18c7 |
|
VISUAL
aHash
|
fff3d3d3f3ffff00 |
|
VISUAL
dHash
|
3a0626a606300000 |
|
VISUAL
wHash
|
98c00010000cff00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
380626a606200400,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)