Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3D273716150AA3B42D3C3E5B361AB1FB2E3C24EDA82460553FC835D1FE6E50DE6352A |
|
CONTENT
ssdeep
|
384:ejeazEc26ZI1o101ddkwxQkd5LhQbS6KiiExjkxarqBcGKWo64IYsOy2+y9BH4c5:YeazdW5NjdioJtg7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247b412e938b8ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccecc8c8c8cc2d00 |
|
VISUAL
wHash
|
0cfc7020040effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3cdcdcdc3c3c3,0880900458988000,dcecc8c8c8cccc2c |
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)