Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150B3EAF1638471F890078BF4E6367A77725B34FABF868688C6E49ED4A6519DCCC49C80 |
|
CONTENT
ssdeep
|
1536:VwFa914zExY1AmqaDwccoCbBZsDSClQjEZY1I0/eBpwChMV4J1t:mFEmc9DytJz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1959c1ce3732b63 |
|
VISUAL
aHash
|
df3e606060000061 |
|
VISUAL
dHash
|
36f4cac8c42000c1 |
|
VISUAL
wHash
|
ff7e7e60600000ff |
|
VISUAL
colorHash
|
3800b000400 |
|
VISUAL
cropResistant
|
36f4cac8c42000c1 |
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 3328 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.