Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17723A566E1310E36408FB3F0E36527C692A3D752CBC353C0E1DDA69987CADA58A4379D |
|
CONTENT
ssdeep
|
768:8fkKtncnI6ngmrlg3NOg4NYgxNoncn56Ncb+lr6wg82bwqlhhYpwLy0:8fkK2gmrlg3NOg4NYgxNFJur6wg8ywux |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2108d6727cd8d67 |
|
VISUAL
aHash
|
3fcfc3cfc3fff999 |
|
VISUAL
dHash
|
c03fb63c4d046333 |
|
VISUAL
wHash
|
00c7c3c7c3ffb181 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
c03fb63c4d046333,4561866969866145 |
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 428 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)