Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2C29532A014273F4297D3CCF651B72EA2D39289DA4E0D1582FC87AE5BD7FA0D913616 |
|
CONTENT
ssdeep
|
768:2e/y5NtbbH3gJIIeCY5RIl7sOy2+y9BH4crIe:sLgOlCYvi7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c766f838992cc792 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
044cccc2cccdc300 |
|
VISUAL
wHash
|
00fef6300400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944ccce6c2cccdc3 |
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.