Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122C3C8FAA3E8A2D4D40BDBF4E566A475356F34FF3B95C698C2D48F90E71109C8988D80 |
|
CONTENT
ssdeep
|
1536:HbeWKH6yHg12DAl9YTiX6mXAKi/rM3i02RbDHm:hlaO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e1a51d3e3da0e3 |
|
VISUAL
aHash
|
e26e6600001a7e25 |
|
VISUAL
dHash
|
c6c8ca234df2d24d |
|
VISUAL
wHash
|
c27e6000007efeff |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
c6c8ca234df2d24d |
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 5236 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.