Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6A33B703618F97A59B343E750DB2102B279522B940E4D206364ECEE66BCCDBA173FD9 |
|
CONTENT
ssdeep
|
1536:KzvnaNn6WOXQfb0Qvv3o2h2wV9IiBvtVPTMn56QKmuAtobZ8o:QX8VMAIGvnAKctoF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93916c3ce66c9693 |
|
VISUAL
aHash
|
062e6e682e0c0070 |
|
VISUAL
dHash
|
8cd8dcd8d818c0c8 |
|
VISUAL
wHash
|
666f6e6e6e0c6070 |
|
VISUAL
colorHash
|
38600006000 |
|
VISUAL
cropResistant
|
8210084848100882,8cd8dcd8d818c0c8 |
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 174 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.