Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1580200F1D050EE37471286C5EBB96B0B7691C749CE570641A3F482ABABCAC60CE12589 |
|
CONTENT
ssdeep
|
96:Tk7bzD71tDlt8v67M0ddtblTlKKXAHlTXeWXrE/lYtG7ytU6fkdt7xhJ:Q7bzD715lt8iIOdxlePEK87ySakdvn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc4939bc66c64c3 |
|
VISUAL
aHash
|
ffd7f3d3f3c3c3ff |
|
VISUAL
dHash
|
10362626061f1700 |
|
VISUAL
wHash
|
dcc0c0c0c381f3f3 |
|
VISUAL
colorHash
|
070000000b0 |
|
VISUAL
cropResistant
|
10362626061f1700 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)