Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A012C5F3164522C80F1583D90645BB5F872E218FFBA248E5B98CC8BB8A977CE51735C5 |
|
CONTENT
ssdeep
|
192:TkZAZMTy7hzVnIUt8Z2UM57sowruZN82xvNyj0RtbxeiVBON1r:TMu7hzVnIUt8Z2UMJsowrunxvYjQt9eR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c444eabb9b9316e4 |
|
VISUAL
aHash
|
ff00000affffffff |
|
VISUAL
dHash
|
6986a6da00ec2b2a |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0f0020000c8 |
|
VISUAL
cropResistant
|
00606002c0c3c198,81028eb6b6400081,25c69aae667e7e3e,d25756ec2b2b6b2a,619a82a4ae03a492 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.