Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F04A630B210510F5733AF46BAD1DF8CEA93F74DC512E5B8E9A2A17E56E0EE54C20876 |
|
CONTENT
ssdeep
|
1536:Ohf3csB/V0Img/bP1ZgmLTfLuHWOJN4fkwsWApdR8C1KoIgl2MZvu+sMujDN4D6B:s1NX/btnL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a465d31654dfd298 |
|
VISUAL
aHash
|
c643dbb343bf9fdf |
|
VISUAL
dHash
|
0c969266b66a20b4 |
|
VISUAL
wHash
|
8443d2a300bbbedf |
|
VISUAL
colorHash
|
07002200001 |
|
VISUAL
cropResistant
|
0c969266b66a20b4 |
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 121 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.