Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18722A421E1113F37429391EAB7A97346BB848145DB871B0017FC43DE63C9E6EDC7A68A |
|
CONTENT
ssdeep
|
192:NrYTUPEQeh6FtKTtU+xWgu71zwW2bI5rPih1aif8:aUPymgu92bmGDf8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf96343438769e92 |
|
VISUAL
aHash
|
043e3c3c3c380018 |
|
VISUAL
dHash
|
cc606960f27243b2 |
|
VISUAL
wHash
|
06febd3c3f383018 |
|
VISUAL
colorHash
|
32e00008000 |
|
VISUAL
cropResistant
|
3818554d6dd5d5d5,900d6d6c6ceded6d,cc606960f27243b2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.