Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9416424D2018A2B018752D4FF306F9693934381DB172D48D7F1867D6AA4C45C82F8E8 |
|
CONTENT
ssdeep
|
24:n/DYmxncW8nXPvReh2yvMlWsYkwSU3GyDaOtij2XXlfhll3mBRmOFl7gYo3ixPCn:nbYEncW4vavM4k6GQaOd+BQOFZo0u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea57f02946a313f8 |
|
VISUAL
aHash
|
e6d22c341101c3c1 |
|
VISUAL
dHash
|
44366c69a54b87b7 |
|
VISUAL
wHash
|
e6dafc3d1103c3c1 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
aa80319e9e08808a,44366c69a54b87b7 |
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)