Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165C2D772A1802E37829382C9F362271ED2E74749DF421B1592FD836C5BE7D50DEE3469 |
|
CONTENT
ssdeep
|
384:uF6lpgIRBbRrx6muxynxhQf6o1pCy6bYScpCHPIYsOy2+y9BH4ciUIe:m6lNduoK6oHXpUP7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9839b8c9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
18ccc8c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30007445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,18ccccc8c8cd8d83 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.