Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13803E671531C19AD846BC39CBF73E927134ED2E0F63690A5A79C83B92987C65EC076D0 |
|
CONTENT
ssdeep
|
768:6LO0uJUfOr2dcdj9sPlz/CSNl1cWtc2gwurv7XF52wNWa9Po7ACga:R0u+BKdxsR1cWtgZv7Xu+9C5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9a966a999a324ad |
|
VISUAL
aHash
|
819c989c9c888080 |
|
VISUAL
dHash
|
3b30313939312420 |
|
VISUAL
wHash
|
d7dcdc9c9c9c8080 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
0418244d4d4c3000,3b30313939312420 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)