Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DE122E1C004ED36031245D6F7F56B4FB692C359CB070984A3F883AF9BDACA0CE56699 |
|
CONTENT
ssdeep
|
96:TkSH9oh4hDBeQ8v67MvzdtRLwvFoeBXuHFge5X5z/o7tmMV6OuEjQPJ:QSH9oh4hDL8iIbdfWIpXzKYMV6OuEjQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c792386d653998c7 |
|
VISUAL
aHash
|
003c3c3c20000000 |
|
VISUAL
dHash
|
06797969c6706860 |
|
VISUAL
wHash
|
007e7e7c703c3c3c |
|
VISUAL
colorHash
|
01000007400 |
|
VISUAL
cropResistant
|
8400467d75c00080,8080808080808080,8080808080808080,06797969c6706860 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.