Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15343B9716300696F621357F4F160EBEDE0AAD748CA1B9D1CB3FC019727DACD58A222E4 |
|
CONTENT
ssdeep
|
1536:upZNnSzvdh5G39v+0U3WrsiaGfETh9+98V:Sm53RjBy9g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce6433f36c343133 |
|
VISUAL
aHash
|
003c1818383c3c3c |
|
VISUAL
dHash
|
946070a060607878 |
|
VISUAL
wHash
|
7e3c3c183c3c3c3c |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
946070a060607878 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.