Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9C1FD7251C1336B1153D2E926367B44F3E280A9D7A38B5462EF8B8F5F87E95EC03186 |
|
CONTENT
ssdeep
|
96:T56ktMzbUnrs7JcxeSgD+dEzP/Tx3czVzPheDyd93u99Oz33wR33633m833FIct9:0ktMArsFceMdEvxcxgDybCrSAkuGzYQd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ab52e4ae1a72db2 |
|
VISUAL
aHash
|
171f0f6f6d113101 |
|
VISUAL
dHash
|
ed257eca8b63e5dd |
|
VISUAL
wHash
|
1f171f7f4d113109 |
|
VISUAL
colorHash
|
32402000000 |
|
VISUAL
cropResistant
|
f0fefffffff67ebe,9999a3e9f8efe7fe,ed257eca8b63e5dd |
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.