Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186224534740238AB963B4AC1F4A15F1D3507E33AC6851D99B7A516627FCACE88D3B378 |
|
CONTENT
ssdeep
|
192:t+M9bUgSf54XJtPqDLbsoSsDWRvErEn45LfBaMcfYNqyTzhBeC3D:cMu54XLPeLbyEWTn45LfBarCtTzhBeCz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb0b81807a7a7e9c |
|
VISUAL
aHash
|
00ff0000ffffffff |
|
VISUAL
dHash
|
d100011101000100 |
|
VISUAL
wHash
|
00ff000000ffffff |
|
VISUAL
colorHash
|
0f407000000 |
|
VISUAL
cropResistant
|
d0c9011121000000,0080014141000000,0000601080109060 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)