Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19821F014602158A70197D6E077E2BB1EBAC1CA44CF130B005BF8C77E7AEAE01CD69289 |
|
CONTENT
ssdeep
|
24:n/CtALMN8iIDuVb6L8USYN9uBNupqxWVE+LLz5WIRkpgn6+:nCA28DDuFuBHccZzUUkpgnr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed3892c76dc39298 |
|
VISUAL
aHash
|
ff9b8ff1f3f3ffff |
|
VISUAL
dHash
|
40b2bc4616160800 |
|
VISUAL
wHash
|
f0908fb1f2f0f0f0 |
|
VISUAL
colorHash
|
07001000580 |
|
VISUAL
cropResistant
|
40b2bc4616160800 |
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)