Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175D2A771B1142B3F11A783CAB711F32AA1E35249EB4A190993FD839D4FD7D90DE2352A |
|
CONTENT
ssdeep
|
768:ZSzy5NPiT7g6J+TYbOn7kXe/g7sOy2+y9BH4c1Ie:UTFPg7kuI7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a9838cdc5 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8c3c3e8cdc98b00 |
|
VISUAL
wHash
|
64f370300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c9c3c2cccdc90b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)