Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E67101623031CF9E1303AAF895C4A5496886F34FCD8834D8A5B11ABE6BCDC70E5396D6 |
|
CONTENT
ssdeep
|
48:XnpRF/0PGd4j+F+UpyNbNI1JZCMtvCMtvCMtvCMtvzh5BXDCMtvCMtvCMtvCMtvP:5z/0P/wPNTkNNNeXeNNNdeQON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8707c7f820d2c77c |
|
VISUAL
aHash
|
3f3f3f3f03ffff3f |
|
VISUAL
dHash
|
f67676fe960004f6 |
|
VISUAL
wHash
|
070e0e0e03ffff06 |
|
VISUAL
colorHash
|
07600008000 |
|
VISUAL
cropResistant
|
f67676fe960004f6,690929698d1b1f99,3931616901414131,8da52d606131d286,f93939e969492915 |
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.