Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BB37AB1C669723B422B4CD870615F4BB2E3C31DDA975A0167FC87C91FEBCA4EA04489 |
|
CONTENT
ssdeep
|
1536:zAl5+c0FV/LSTii8RH4NszOxKLeMN2Gu0FV/LSTii8RH4NszOxKLeMN23G0FV/Lo:+5+cGGFW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3ac7c5c5e4348c |
|
VISUAL
aHash
|
ff838387ffffffff |
|
VISUAL
dHash
|
453b3f3f40390000 |
|
VISUAL
wHash
|
810081818fbdcfcf |
|
VISUAL
colorHash
|
07400000201 |
|
VISUAL
cropResistant
|
453b3f3f40390000,6b6339b9bd3d6169 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.