Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9F18417D122257D0F1402F9AE0936DFA359A08DE3268AD3FCD9D53917E5E8322739CA |
|
CONTENT
ssdeep
|
192:/U/MXTPuwTF9FZtFzF9+zfb3uUUF9/3niPr+ovCxON1r:/n7uwTF9FZtFzFEzfb3rO1SD+ovCor |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b1131dece0c1f3a |
|
VISUAL
aHash
|
0f0f0f3fbfbfbfbf |
|
VISUAL
dHash
|
5a9ada7878787878 |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f8e |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
5a9ada7878787878,589290c8cd909259,9e8abac9c8dc9bbd |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)