Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F382F8527541F92F035343C6A753432DAB93C3D2ED22BB09A5E6CB4D2AE9D16CEB3205 |
|
CONTENT
ssdeep
|
384:24OOm6wi2Ayq9o3Ws1SKmRYwqFI6Gypy0kKb0Os8U:24OOm6wPAyq9cWCSKCYYUyzOsf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c02d6f27670f4f0 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
4cf377373f20d830 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06200000180 |
|
VISUAL
cropResistant
|
0000000606060000,a485a5a6a6a585a5,2d39aba6deac3cb7,7337370c20789030,0c876bf3b75f333f |
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.