Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B636632918658139097C2D9F1709B0E7381C785CB134B6563F957BEBECECB6AE2129C |
|
CONTENT
ssdeep
|
1536:pH88nwN3G91K11eX1wi1S1Krl171C1c14wCcUByyeeeewyeqeMeeeeHIeeeetmVm:RQ1eFwo4KzZIGJ12kmVSlKu83EDITIIO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3cc363893c9926d |
|
VISUAL
aHash
|
3400787a40464e46 |
|
VISUAL
dHash
|
6927e2d29a8a9a8c |
|
VISUAL
wHash
|
70b0fefac2c64a46 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
6927e2d29a8a9a8c,73726ae3230f360f,5616898170084c4c,2764e7f7e3ca6823,d7693248cccc442c,3d341c3e1693de4f,9793d6c449239371 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.