Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B362853062041A3EAA17C7A8F7A4F73661BED38AE91F985CE67C017527C1D94DC236E4 |
|
CONTENT
ssdeep
|
384:94Xq/t+dL+GhO+B4+C6+oe+ia+/rDj+KW+3nE+1ffr3tra66fB2gWbW:94yt+dL+GhO+B4+C6+oe+ia+/vj+KW+g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9f4344bc4b44b39 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
1a9a5bdadbdb181b |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
03000000038 |
|
VISUAL
cropResistant
|
80888eb296968086,5c4daa12334ecb0a,82c293d4e8680401 |
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.