Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A833BF1A580FD2311B340D270AF8646F37E491BBC1F0890F69CC6C673EA8666567AD9 |
|
CONTENT
ssdeep
|
768:PT0TQH7anYFUxQTxwksWiaabImKCIkMMjeWKSkAYYxBLn/p9FFG/CG+YEMMf7Vxp:NepD4niwlanx1Et8wlzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3386d96347d3296 |
|
VISUAL
aHash
|
002008007e7c3c7e |
|
VISUAL
dHash
|
9cc8e9d4ecccf0c0 |
|
VISUAL
wHash
|
003c0c007e7e7eff |
|
VISUAL
colorHash
|
38200010042 |
|
VISUAL
cropResistant
|
d6eccb99b195a99a,e80c56862baba3c2,163d706830f9d9b2,ccdc9edc4ccccee0,362e2b3a393a4bcb,7969e4c433a2cd85,9cc8e9d4ecccf0c0 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.