Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAD2531220085A96C2F38CD898106A85B146E70FC8719770D2FC4E7B57E6A76B79CF7E |
|
CONTENT
ssdeep
|
384:Tmd+l4VcMesMe4MeH6ee4vyh08U4Syh08qlkqhL7OX6iZylqHf0lAxy14y5h3/:Kd+zCm9eeQU7OqiZrBxaD/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
daad423b3946a539 |
|
VISUAL
aHash
|
fffff7df8ffcfcfc |
|
VISUAL
dHash
|
4630273f18000808 |
|
VISUAL
wHash
|
009f81818fdcfcfc |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4630273f18000808,0000083232300800,44c4da94cca491cc |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)