Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CE263328641223B161B9ED07A36677DF4EFD76EC94382265BF8C3E11BC2D92DD02A11 |
|
CONTENT
ssdeep
|
768:5rzC60P1e+P0b79PUHnfG1aGS0pS6S0pMMS0pCSS0pRg5S0pLFS0pxVS0plvS0pe:5S11e+8b79PUHfG1y7t1XfFV8OIK4h2W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b120cece33ce3d31 |
|
VISUAL
aHash
|
cfcfcfcfcfcfffcf |
|
VISUAL
dHash
|
9e9e9e9a9a9a389a |
|
VISUAL
wHash
|
034343434fcf8f8f |
|
VISUAL
colorHash
|
07400000c00 |
|
VISUAL
cropResistant
|
9e9e9e9a9a9a389a,b332707173b96167 |
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.