Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D02E07182003E6FAAB1F0C1D983FB4465F1E0EBE969500173AA544D8DD6F61E8ADE37 |
|
CONTENT
ssdeep
|
96:RGsuxGGvQlzqlkG7P5s3x5Hi505x5UP2DN2qnWa/rfWZMrLrWSgQ+rUbhZ0A:xGIl3/DNklJHrUbhR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9966669999666699 |
|
VISUAL
aHash
|
0000001818180000 |
|
VISUAL
dHash
|
00304cb2b2b24c30 |
|
VISUAL
wHash
|
00f3f0f83f3f0303 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
8e88f2a2c0b2b2aa,00304cb2b2b24c30 |
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 132 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)