Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F87288ACD2A99823952181D0D8AA6BEF31404F4AD7532B2057BCC133BDC9D9FDD172B8 |
|
CONTENT
ssdeep
|
192:WZof+gUaVfYyJ+x/2XH7OkW4ydXOunjpORyu5rj0YZof+gUaFYyJ+x7qXH7OkW4P:Yo0i3J+lyKpgro04J+h2KpgP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c73c33748c73ac |
|
VISUAL
aHash
|
647c7c7c64640b00 |
|
VISUAL
dHash
|
c9c9e9e9cdcdb36b |
|
VISUAL
wHash
|
677c7d7c64650f00 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
c9c9e9e9cdcdcfb3,412cc4c43bc64a4c,aad890a18971b434,c609696969080303 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)