Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12ED154E0D2699813A172C1D4E9A67BAF36514609D3930F1457F8837BFECACA9CE131C9 |
|
CONTENT
ssdeep
|
96:TPosWqPvVaknQBDKyJOiWx196Sg3EHXivpJkRF9Pgv5:DosWqPvVamyJCO3EGQRDYB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbd33c33742cd528 |
|
VISUAL
aHash
|
383c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e1e9c8c9336b |
|
VISUAL
wHash
|
3c7c7c7c7c3c010b |
|
VISUAL
colorHash
|
320000001c0 |
|
VISUAL
cropResistant
|
939bc4cc8e66939b,ba1ba7a7bb3b1345,c9c9e1e9c8c9336b,8413cccc2a0394a4,9290241a1a1a1a00 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)