Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AA21352210C1AA5C2F3489D5510299062C3DF4FCD64C7B086FC4E3B1BE7AA667A5FBE |
|
CONTENT
ssdeep
|
192:4ieOxViwHjbv1jZEst/wdYgZlivjweohQs3U1kMYtsDjBBGu6lVIyH1kMLhsAjBj:FViwX0575QLoAJRXi44yDhI9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afd221db48af4638 |
|
VISUAL
aHash
|
fdffffbfffbf0300 |
|
VISUAL
dHash
|
49893775316377d7 |
|
VISUAL
wHash
|
7cff9715193f0300 |
|
VISUAL
colorHash
|
0e6000000c0 |
|
VISUAL
cropResistant
|
49893765316367b7,456552d4e44c434d,b9b94646d649c8d0,d7d4b6da6a4aa9a9,41462eaad4364f45,171607b2b70fc6c6 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.