Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E802779CD2A99823956181D0D8AA7BEF31408E46D7532B2057BCC133BDC9D9FED172B8 |
|
CONTENT
ssdeep
|
192:WZof+gUaFYyJ+x/2XH7OkW4ydXOunjpORyu5rj0g:Yo04J+lyKpg/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83cf2c335c8c73ac |
|
VISUAL
aHash
|
2c7c7c7c64641b00 |
|
VISUAL
dHash
|
c9c9e9f9c9cdb36b |
|
VISUAL
wHash
|
6f7c7c7c64650f00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c9c9e9e9c9cdcbb3,8013e4c4cc31c44e,8ed8b0818b7434ca,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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.