Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EA23521A69C407F42F30BC4FD46F63429767278A005572A7F6C30565E88FE17AAACDA |
|
CONTENT
ssdeep
|
384:2FFa4J0i53KxjbVURSUEVZ0xogm0RMo9K:qjvpKtaRSUE9rog |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c742bdbc6343c643 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
c616c4c0c030520a |
|
VISUAL
wHash
|
00ff000000ffffff |
|
VISUAL
colorHash
|
03006000040 |
|
VISUAL
cropResistant
|
00c02a214d2622c9,c0313054724a8000,c6c63181d6d6d120,c0d8c4c4c0c8c080 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|