Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E333170A045AA3F4693D6D5A2344F1EA3E0D395CA230A46A6F9C71D5FD7CA0FE03369 |
|
CONTENT
ssdeep
|
1536:f+knCb7NV6tOOxqTCXGeGdGDGyNOxqTCp0V5h58//V:ZWjEiywp076 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f00ff0310ff18787 |
|
VISUAL
aHash
|
00003c1800e0e0e0 |
|
VISUAL
dHash
|
ca396970e8949281 |
|
VISUAL
wHash
|
6b143c383cfce0f1 |
|
VISUAL
colorHash
|
38000e00040 |
|
VISUAL
cropResistant
|
1a08ce2313563112,ca396970e8949281 |
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 91 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.