Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FB362707E136826206F62CF9227170E62C1C3C9EA6326E566F4D3285BFAC54FFE2115 |
|
CONTENT
ssdeep
|
1536:8EHkgnxjKpD3IG8QwW3WG96wW3nGRqwW3MG+XjwW3rG+st7yrftj5kVw93NGwD3P:QLhwDJWaz8xuBzsdysakTxMi7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8760b88bfce3ccc2 |
|
VISUAL
aHash
|
ff00200020203fff |
|
VISUAL
dHash
|
73d9c64ecec3d932 |
|
VISUAL
wHash
|
ff000020323f3fff |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
000b61636b7900d2,7273725a4d921565,e909294d5d690989,e8eef20080323232,5ac9c64ecec5dbf8 |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.