Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11182B931D3A61D174165C6D4FAEE6B6792A1D2DEC7060F10E3B87763A8CA3685E101CD |
|
CONTENT
ssdeep
|
384:07IcYbzRhP7le2rPec3VQvnzdh1jMtlXw6MvAPjUCa4EOVIlzKM5Wvxv2oW5mXqO:KE3IN6cp+Tb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b43caa7308ab3177 |
|
VISUAL
aHash
|
c7868616c6e6f77f |
|
VISUAL
dHash
|
9db42e2c0c8cccd0 |
|
VISUAL
wHash
|
c7868606c6c6667f |
|
VISUAL
colorHash
|
06201008040 |
|
VISUAL
cropResistant
|
9db42e2c0c8cccd0,58dcf6d838929834,8c0622321870e834,04b16b29924cd1d5,4ec6862eaeb6944e |
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 20508 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)