Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BF130E2E400ED3B075281C5ABBA6B4FB690C74ACF07054593F883AB9BDAC60CF1558D |
|
CONTENT
ssdeep
|
96:Tk8bzDJ1tJMt8v67M0ddtplLldbPSXYHluXuWXYE/gv9tA7ytH6bt9ECc2J:Q8bzDJ1zMt8iIOdnl/bPVEaa7yNkHE/w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46c9b93cc9b6464 |
|
VISUAL
aHash
|
fff3f3d3f3f3efff |
|
VISUAL
dHash
|
1026262626061e00 |
|
VISUAL
wHash
|
dfc3c3c30303033b |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1026262626061e00,787178797d7f7f7f |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)