Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D902889CD2599823952181E0DCAA6BEE31404E45D7532B2067FCC137BED9D9FEC162B4 |
|
CONTENT
ssdeep
|
192:WZof+QUaFoyJ+x/2XH7OkG4ydXOunjpeRyu57j0w:YoEoJ+ly6pgv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c73c33748c73ac |
|
VISUAL
aHash
|
647c7c7c64650b00 |
|
VISUAL
dHash
|
c9c9e9e9cdcdb34b |
|
VISUAL
wHash
|
677c7d7c64650f00 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
c9c9e9e9cdcdcbb3,801fc4c41a254e4c,aad890a1b166b4f4,c61959795918030b |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)