Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EA13372A118291E123353D8EBC6B9489123F786C61E5C30BDCD21BD5EE2DB5A8D3376 |
|
CONTENT
ssdeep
|
96:6r81SDxNgudRV0d8O3/C2epr/Vy7AMAYO78rHSKUrwms:6rVR2wE0ZRNEms |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc65999933cc6666 |
|
VISUAL
aHash
|
1818180000183c00 |
|
VISUAL
dHash
|
5416b2164cb2b204 |
|
VISUAL
wHash
|
18181800c3dbdbc3 |
|
VISUAL
colorHash
|
0f000038000 |
|
VISUAL
cropResistant
|
86618eb2b28e7186,bb1b873719939386,5416b2164cb2b204 |
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 24 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.