Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DE2D8327010763742A792DDB3A2BB1EE3D79209E6460401A1FD83BD07E3ED5DA37A56 |
|
CONTENT
ssdeep
|
768:QSky5NQPabeZ3MV8FLiq77sOy2+y9BH4crIe:G7Z3vFd7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363bc18ed28c5c3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
92cccccacacc0c00 |
|
VISUAL
wHash
|
00e4f6703004ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,928cccc2cac0cc0c |
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.