Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1757354721252BA3F258381E68718E759D382D205C7678D8AE7EC835F67EBCE1DC36064 |
|
CONTENT
ssdeep
|
1536:Ws8LD6zDcri0J411G+yyf0QcG05jRk0xxVuz86h:c+wu0j1Sh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e852a4be346eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
94d38b131833271e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,2c2ca2725d2d5652,38789d9c8c8c8d8f,363469592624cdcd,b566739db15b4b4f,82a28ecccc8ca282,8512382727008606,8c83b3c98b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)