Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1025172351101266F44238FE4B4E1EB7A62EFD30CEA1B944863BD42A927E7C43CCA7258 |
|
CONTENT
ssdeep
|
48:GcQ1z85mHFJmUQ5omsMRjFV2R3U/cIEjXUcZMzNmsSy:R0WuiUQ5dje5Uk7EmMzN3Sy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6f139cec631384b |
|
VISUAL
aHash
|
f0f0f07470300000 |
|
VISUAL
dHash
|
0082c0e4e1e0e070 |
|
VISUAL
wHash
|
f0f0f8fe787c3800 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
72e98d9c3c9c31e6,0082c0e4e1e0e070 |
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 213 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.