Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199C284309084A93B50C7C6D5FBB4BB1EA39AC289CB430B4693F887D91FD6D94CD27958 |
|
CONTENT
ssdeep
|
384:BJ568CwUhbDDE/2xQRnCcW3wPSEI//j0/xTC0n:BJ568kDupRnCcW3F/qI0n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d258353c6d752969 |
|
VISUAL
aHash
|
183c3c3c3c3c3c3c |
|
VISUAL
dHash
|
f0e8e9e8e8e8ccc8 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
17000000000 |
|
VISUAL
cropResistant
|
e1ccccccd43d2323,f0e8e9e8e8e8ccc8 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.