Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E335420B405D92702CB69D9B6366729B2F59344C6131A98F9B8C3F91BEFC6DCE33164 |
|
CONTENT
ssdeep
|
768:9tbs2R/jZXi/ERqDDR6sAs6s6s64iCR2GUf7rDd4U6mD:9tbs2Rdy/ERqDDsLXXX4iCR2Z7WqD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d82cc72b7aa4562d |
|
VISUAL
aHash
|
ffff00000000ffff |
|
VISUAL
dHash
|
273ab4bd295a0238 |
|
VISUAL
wHash
|
ffff00000000ffff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
239ab4bd395a0238,000020d0d0d04000 |
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 41 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.