Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109021FE1D400DD3B075386C9E7BA6B4B7690C70ACF47064197F883AB9BDAD60CE1658D |
|
CONTENT
ssdeep
|
96:Tk2bzD71tDlt8v67MjddtplYl6yXPHlSXVcWXwX/8/tA7ytH6bt9ECc2J:Q2bzD715lt8iI5d/lEsEXOy7yVkfE/w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46c9b93cc9b6464 |
|
VISUAL
aHash
|
fff3f3d3f3f3ffff |
|
VISUAL
dHash
|
1026262626061e00 |
|
VISUAL
wHash
|
c3c181818181c3ff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1026262626061e00,787378797d7f7f7f |
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)