Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEB284B372006A36939346C3DF367B8AB364D244D283035B55F9C29C57D6D55EE22783 |
|
CONTENT
ssdeep
|
384:Rv/D/E+4Qfg+fBFxh0FEJBjFIwI6D+HUhkhXQF/qHPycQ9:RX7E+4Qfg+fn0FEnF/n8uVUvy1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce71e721318f3187 |
|
VISUAL
aHash
|
60383c1818183c18 |
|
VISUAL
dHash
|
c6e0f0f0e0706160 |
|
VISUAL
wHash
|
fe787c3c3c003c3c |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
00002014d5220000,c6e0f0f0e0706160 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)