Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B6188B7D024442B620396E1FEA1734C95D7A35DCED22480E0F94ADC93ECCA0B96A2F5 |
|
CONTENT
ssdeep
|
96:mzmPmzDUw/eY6cg3inCG5aef+7g+xt+n+6ON1r:miPrwG13UNktMlON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cdd22770a7722cd |
|
VISUAL
aHash
|
0018181818000000 |
|
VISUAL
dHash
|
4cb2b2b2b20d86e3 |
|
VISUAL
wHash
|
fc3e7f9e1f460001 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
a2b0f2e2e26ae2a0,4cb2b2b2b20d86e3 |
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.