Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D83C9309101AA3B4157D2D6F6B99F0F33A2838CD753059CB7F5536BABCECD195222A8 |
|
CONTENT
ssdeep
|
1536:yNMFvog3FtY0d5M6EvZnWsB6OyCxWpr8zR6lkaM1KtKNKDSKHKOzKo76DKCcE84R:yNMFvogVtPPGcE84Ra+GGfLDiK3+TPo5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
892de55853d25aa7 |
|
VISUAL
aHash
|
001b1b180818ffff |
|
VISUAL
dHash
|
d2f3eae8fab1b108 |
|
VISUAL
wHash
|
201b1f1c0818ffff |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
f3f3eaf8b9b18a88,0030c3d8d8c33040,feded9dddbdedfce,7b3a382525a42763 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.