Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CD29731A110663B5197C3D9B363A32BA2A3924EEB56091553FC83AD0FF3D94DE3741A |
|
CONTENT
ssdeep
|
384:HfrSby5Nj1maEiC1WTvEoLwuk8CmDiOPxB/BvGVSbYPHIaUUOQfMC8Vos3Kl5+Vk:zSby5N5j7zUH0DwzZ7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9264fc32e93c92e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cccc4e8c8cc3c00 |
|
VISUAL
wHash
|
00fe7020600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d4d4d715596,1080800458988000,9cccc4c8e8c9cc3c |
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)