Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102D24F31B290677B42A793C8B320672AB2D3828DEBD7596163FD439D0BE7D11DD1342A |
|
CONTENT
ssdeep
|
384:Je/GLEAgiRodtE44mua6lOManCMeFSgVviLXwSXIYsOy2+y9BH4cCUIe:Je/GLEkmuaEalnXwK7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272bc28cd69c5a9 |
|
VISUAL
aHash
|
000400000000ffff |
|
VISUAL
dHash
|
180cccc0d1cdcd00 |
|
VISUAL
wHash
|
00c4e4703027ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0880800458988000,982c0cc0c8c1cdcd |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.