Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4E121E0C454EE37875686D5EBB16B0B7392C349CB061D40D3F883AB9BCAC60CE655AD |
|
CONTENT
ssdeep
|
96:Tk/ESSzeFvMSWuSTCctkZtQ9SS8ct7IkTWzwvF9em+XidHFXepXXg/Lt73QcYfYI:QsSSzeFdMWcwtQj7TW94sZgj9QcsuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a5da1c2c18d9e1f |
|
VISUAL
aHash
|
ff001c1c1c1d1f0f |
|
VISUAL
dHash
|
a85e393a3135bb1f |
|
VISUAL
wHash
|
ff001c9c1c1d3f0f |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
a85e393a3135bb1f,cccdcd5555333333 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)