Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE021D726504A9B70193E3EAE771E76F7682C348CA931786A2F8D74C1FC6C9ACD91214 |
|
CONTENT
ssdeep
|
96:a6F4xF7PzmCvHIohnu+1Q5xBO4vRlQvOiBvlPHx1VRJoTB0VdmPSytmYFyJxyzPZ:a6F4xlfP7nuQ4vRlqXVRJoTGXzxYp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b9b31314e4c64f3 |
|
VISUAL
aHash
|
3cffff3c3c000000 |
|
VISUAL
dHash
|
7179696169062800 |
|
VISUAL
wHash
|
ffffff3c3c000000 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
7179696169062800 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)