Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102B2A9B132006DD92FC1EC54D38B3F1B168DD079E246540C6296DB6F1BE1FB099A93BA |
|
CONTENT
ssdeep
|
192:m/6HgRhZG1ouMBBZY8bvtZlnE/drXUa/g1uI+JvOBR2rHNO3ayFTByIAk3t/5bCv:mCHM6oASFxmoUHNWsNI8lZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b992cd309936cf32 |
|
VISUAL
aHash
|
ffdfffcfcfc3c3f3 |
|
VISUAL
dHash
|
30b028989a969e06 |
|
VISUAL
wHash
|
df9dbd9d010181c3 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
30b028989a969e06,41514d3333314951 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.