Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2A3DB23411975274437C2C134BA5B3BD1A6D99FFAE70A401EECCBFA2BF9CA0745A119 |
|
CONTENT
ssdeep
|
1536:G6Bz+tpR4nXBKpSpFl26vs/fx7DVNpGbp2WLk:cUMv/592b8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c369351a8dc762e3 |
|
VISUAL
aHash
|
010171791d046e2f |
|
VISUAL
dHash
|
9b9bc3c3f1edcccc |
|
VISUAL
wHash
|
4141717979146f3f |
|
VISUAL
colorHash
|
31006000000 |
|
VISUAL
cropResistant
|
9b9bc3c3f1edcccc |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.