Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D72CA74B03614AB05B799C4E1E1BF4E39A6E31EC99E55041FF887811FD7EB4FA28062 |
|
CONTENT
ssdeep
|
384:XH4KRDjFnpbDHF3gnD/F7JciRFpksRIG0:X4KRDjFnpbDHF3gnD/F7JciRFpksRIG0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8532c246dda939b |
|
VISUAL
aHash
|
0000fc7c0000ffff |
|
VISUAL
dHash
|
c3c4b9a992921555 |
|
VISUAL
wHash
|
7000fcf8005abdff |
|
VISUAL
colorHash
|
18006000040 |
|
VISUAL
cropResistant
|
c3c4b9a992921555 |
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 16 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.