Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15843337045153905B61AF285F5118F0F7323C30BEF0739689AFA1EE2EACDCB9486A5D6 |
|
CONTENT
ssdeep
|
1536:iBmjYI6jnW0CyQklaEZqMCZO41AyriuPOlyEvFoy02FrBuvR6D/Zu28qtkBkBMNG:iMFj2uQ4i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c914633663dc73cc |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
1f3333333333330b |
|
VISUAL
wHash
|
c3999999999999e1 |
|
VISUAL
colorHash
|
06007000200 |
|
VISUAL
cropResistant
|
9a8e8c8a88f20f8e,1f3333333333330b |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.