Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAF16332B447982A16A3C1E3B160BF09A7D3E716C706865AD6ADA78E0FC3D75FE13015 |
|
CONTENT
ssdeep
|
192:zwj18dlKYz6b+cJsLdKRhrfhOlg+dKr8GyPEY:tdlKYwvsLgR5glg+wrAPEY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9db741e14179631d |
|
VISUAL
aHash
|
00ffffffffff0000 |
|
VISUAL
dHash
|
d0003030400032d0 |
|
VISUAL
wHash
|
008f8f9fffff0000 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
6020683000000000,20d0d0d0d0d0d0d0,3010b232e8d4c008 |
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)