Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EF1F0F1D444DD7B075281C5EBB96B4BB691C34ACB070A4193F883ABABCAC60CF16599 |
|
CONTENT
ssdeep
|
96:Tk2bzD71tDlt8v67M0ddtJlWl2crXtdHltX2WXvE/qdtz7yt26btSECc2J:Q2bzD715lt8iIOdrleBE+h7y0kEE/w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46c9b93cc99c664 |
|
VISUAL
aHash
|
fff3f3f3f3f3c7ff |
|
VISUAL
dHash
|
1026262626269e06 |
|
VISUAL
wHash
|
d8c0c0c0c3f3c3ff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1026262626269e06,787378797d7f7f7f |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)