Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162137817F288292F8F326BAC7E92E7A9C21352934B794F0520D81FAD6DC2B62CD11557 |
|
CONTENT
ssdeep
|
768:yOBCSyVL8PzIVKo4+7KfTdk52vUwXNAzwUWAyWwR2vYt4L:0QIoe52vUxzwUWAnwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a2857758ad9557c |
|
VISUAL
aHash
|
1819191d193c3c3c |
|
VISUAL
dHash
|
71f1f1b131c9c0e0 |
|
VISUAL
wHash
|
bc3d1d19193c3c3c |
|
VISUAL
colorHash
|
31001000180 |
|
VISUAL
cropResistant
|
71f1f1b131c9c0e0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)