Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E573417611427E3F218382D1931CE79EE382D609CBA7894AD7EC836B67C7DA0DD35168 |
|
CONTENT
ssdeep
|
1536:CLCYwhgDcCL0Q4i1WZTy00dbG4ljI70VxVuz8vU:T+100jJbU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840a6be166eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
acd383331433270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,3a25cdd5eb933662,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727000f0e,848bf3d38b2b1393 |
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)