Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139A3E1308291162589D39784FFF2938F4134A356CAA31CDEF7E9422B7B8AD9CDF05562 |
|
CONTENT
ssdeep
|
1536:8JEfU1LSrMhhw2ST/dTdU1U/uEl0XP151e+L2gNjGyTsrEeviXdvgF:8JEfNdx8Cl0XP1KWdvq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d90cb623b3ccc9b8 |
|
VISUAL
aHash
|
660018180808ffff |
|
VISUAL
dHash
|
8414b3d0d8d2b388 |
|
VISUAL
wHash
|
ff0018180868ffff |
|
VISUAL
colorHash
|
01040000c00 |
|
VISUAL
cropResistant
|
0000104d4d324400,e8cc8e9e9f2aaefe,bb1ede9af8c933e3,b2b2b29421009260,9414b2f0d0d8d8f2 |
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 527 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)