Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12473683C62C1563950CB87F2E5949F29D298CBD9DF27AE8BF39CC247178AC458F42660 |
|
CONTENT
ssdeep
|
768:uoGFfaqTHabfXHwo4xBg28xuUd4seGoCYOx1v3PZPGEWbVlvHe3GV:4f/Txsd4seGoCYOx1v3P0EWbR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd0bac0ead2d8 |
|
VISUAL
aHash
|
ff0b0b2303030100 |
|
VISUAL
dHash
|
fbd7d3d3d7d79390 |
|
VISUAL
wHash
|
ff0b1b7b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
abdff3d3d3d7d7b3,1b1aba2b4d6c64d6,2040838b73a36393,dff3d3d3d7d39a90 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.