Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2C3F872705024B7911F79DEB2127F4E622FF31DEA6EC060ADED4AB867E1DA5F401806 |
|
CONTENT
ssdeep
|
1536:RRz2S3FHs4Yzjb00V8xPFjbXOQFk8GAXpJAK6B1t9o+LqgPeUtSPvZbtrt8tktUV:hZYU4w5OVCC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea69ce39c2123796 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
93030c71c91b244c |
|
VISUAL
wHash
|
00216710e781ffff |
|
VISUAL
colorHash
|
070010080c0 |
|
VISUAL
cropResistant
|
30c4e4246466084c,99130c0669490f13 |
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 146 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.