Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDE2B871A1506B3F01A796CAB291A75E63E3834FD74A052253FC872C4BE3D50E92736E |
|
CONTENT
ssdeep
|
768:hQehSmXr/2zkG0lRaTVEc7sOy2+y9BH4crIe:3SmiCQ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343f81a9d6996c1 |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
d88cccc8cc0cc300 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04304c4c4c4c2004,0080800058988000,d888ccc8c8cc3cc3 |
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.
Pages with identical visual appearance (based on perceptual hash)