Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4827032A20558635297D6D4F271972F3283C349CB430BA6B3FC938D5FCACA5ED62248 |
|
CONTENT
ssdeep
|
384:2qWpLIbNfbSYizf+mkzViVi/PpUAP2UMO+eH99hGbzSG+txJ+uSEFRALSx7qzo6G:H6IbZblizf+mkR2GRleVO+eH99hGbzSh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73478346d9bc992 |
|
VISUAL
aHash
|
00203c3c3c3c3c38 |
|
VISUAL
dHash
|
86c4d0e0e0e0e0f0 |
|
VISUAL
wHash
|
00707c7c7c7c7c78 |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
86c4d0e0e0e0e0f0,956969d5dcc40b94,64643b33b939331f |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.