Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14213A631A0807437452B9EE6B4A5EB1A77E3830DDE630418E2FCC7C62FE6D50CA5756A |
|
CONTENT
ssdeep
|
768:pbIIDGgQrPLggQv++BcQszYU6t/BAFhZzwagQLhPNC65AMe3OD1gQ/u5kuN8wW6J:pbIIqHuszR6t/uFIuPNC6ahJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363ea982d1d9c6c |
|
VISUAL
aHash
|
0020000207ffffff |
|
VISUAL
dHash
|
c8c9c8dadef8fcf3 |
|
VISUAL
wHash
|
0060000a0fffffff |
|
VISUAL
colorHash
|
182000c0001 |
|
VISUAL
cropResistant
|
341cf1f8f0f8cbf0,c8c9c8dadef8fcf3,414d713333454541 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)