Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19182B4F1D6D497AB908393F1FB31A35A335B8329D7274B0902FC8BA89B86E4CCC91554 |
|
CONTENT
ssdeep
|
192:qPD6RE8Xjtnmy3WglEZ5fQ7CdkFXEAPHQuB/FG18RwSSZjKEQaovNyB:yijpmhi7Cy1El6GhNZj/QtvIB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1649b9f3135cc64 |
|
VISUAL
aHash
|
ffc7c3c3c3ffffff |
|
VISUAL
dHash
|
f08e868e8e709898 |
|
VISUAL
wHash
|
1ec0c0c0c0dcdcdc |
|
VISUAL
colorHash
|
07400008080 |
|
VISUAL
cropResistant
|
f08e868e8e709898,8581b5b4b4959899 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.