Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C028A9CD2699827552181D1D8AA7BEF31408E45D7532B2057BCC233BDC9DAFEC162F8 |
|
CONTENT
ssdeep
|
192:SZof+CJUaFClyJ+x/2XH7OkCR4ydXOunjQCVRyu5vj0W:EoFiXUJ+ly+RpgU5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c73c33748c73ac |
|
VISUAL
aHash
|
2c7c7c7c64651b00 |
|
VISUAL
dHash
|
c9c9e9e1cdcdb34b |
|
VISUAL
wHash
|
6f7c7c7c64650f00 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
c9c9e9e9c9cdcbb3,0453acc4c41bc04e,8ad890a9997634e2,c61959794919030b |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)