Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150121030F6889977058382D9AA74EF2972C076C9C9171901D1FE878D4BBEE54ED2235C |
|
CONTENT
ssdeep
|
192:CUu5/D0FReHkVQAUnbehJKrDQdrfPQVpd0PrYx2fQGan4FFVJfzQcQ:Bu/kJKvQd7PbFFVlzZQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93b333c6c92c6c4 |
|
VISUAL
aHash
|
8f87fff9f1ffffff |
|
VISUAL
dHash
|
1a18e32b27124000 |
|
VISUAL
wHash
|
87860600f1ff0f0f |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
1a18e32b27124000,9989e969e960d3d3 |
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.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)