Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C463763292865C139097D2D9F170970E3281C785CB134B6563F967BEBECECB5AE1129C |
|
CONTENT
ssdeep
|
1536:8y8H6Bd91z1Fuwjoxh1wi1X1b7l171Y18157JFdUHknyeeeewyeqeMeeeeHIeeeC:LRFu/woFbjZymLn12bKvCG83EDITIINQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3cd363893c99269 |
|
VISUAL
aHash
|
3030787a48464646 |
|
VISUAL
dHash
|
6b67e2d29a8a9a8c |
|
VISUAL
wHash
|
b1f0fffa42464246 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
6b67e2d29a8a9a8c,4c4cc430e7f26464,937362e2230f3636,262659438d3d9b98,2764e7f7e3ca6823,d7693248cccc442c,3d341c3e1693de4f,9793d6c449239771 |
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.
Pages with identical visual appearance (based on perceptual hash)