Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AC30E307420A83A00DF7AD9E565531AA7A2D30ECB5B03D9F2F4C3794BDED5DDA22648 |
|
CONTENT
ssdeep
|
1536:TBsIxKfr+A3gyPN6XUCuMarZMpUNDl8rPwezGIrnaGa09GasGaoGgwU5fjCRFT6l:TBQrhN6XLarG+f2YtRQ1NgWPsyJMS7b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3c4ba0b619e78c5 |
|
VISUAL
aHash
|
fffffee020001cff |
|
VISUAL
dHash
|
c90c28c6d659790b |
|
VISUAL
wHash
|
e0fffee020001cf7 |
|
VISUAL
colorHash
|
06200018001 |
|
VISUAL
cropResistant
|
0000808080000008,062c08d65239790b,484806c8c8024848,2d2c2d499837267e,aca52d4444414352,31717333330d3b32,9949696953513131 |
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 312 techniques to evade detection by security scanners and make reverse engineering more difficult.