Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FC12F707E43312A311F09CFE0176B1D62D2EFCDC2616AE695F852A097F4C94BBE1280 |
|
CONTENT
ssdeep
|
96:EiNxWNxZiUY03H4CUQRUDsryZGD0UvFoTjRFwpy6STNST4WvUjRUbdfRyfqWEj:E4xExL4lqYxwpcEj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da03a5a9f8afad40 |
|
VISUAL
aHash
|
ff3c3c3c3c3c3cff |
|
VISUAL
dHash
|
e0686969e96969e8 |
|
VISUAL
wHash
|
ff3c3c18183c3c3c |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
e0686969e96969e8,67ac5a5b5b5a649b,076b0d61f10d6b13,1020404040402020 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.