Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108F19C7204DA6167122F7AC7BC622B6B38F24339CD375A50F6FD4295EBDDD21E822504 |
|
CONTENT
ssdeep
|
96:tCVE6645mtlNmNY322l5KLz/6BLs4owmwUCvIwiD/lI/j4TlOESq9q9OaqzloMnu:w36WmtlFs3TlHNvZj8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6042f7ac0ff143a |
|
VISUAL
aHash
|
0301067fcf8485c1 |
|
VISUAL
dHash
|
ae6d9cac8d0d0d17 |
|
VISUAL
wHash
|
0323077fcf8785c3 |
|
VISUAL
colorHash
|
30003400008 |
|
VISUAL
cropResistant
|
ae6d9cac8d0d0d17 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)