Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B91200726106AD33038792D0AF716B0E67C3424ACEA70B8665F4975FBBDAC81CE1158F |
|
CONTENT
ssdeep
|
96:E6q0tVVQO7V6LxMEw1JfHCsZs/s7s1CfnDo1ZV3HaoHoBb865J+yVSQNGJuzfHR8:FQeSxMEKfTNwJuLxm/UsR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a9819e5676567e0 |
|
VISUAL
aHash
|
1c1cdf607eff0000 |
|
VISUAL
dHash
|
d03839465040f069 |
|
VISUAL
wHash
|
1c1c1f7ffefe0000 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
f0f2e1f0f0f0b2a6,d03839465040f069 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)