Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185719F283498D8AB46625B93F5D2DD187CC1B35FD655D8A0C0FF22EA46E0FE2CCA055B |
|
CONTENT
ssdeep
|
48:TbSCJShgl4lIvXlqXoXoqXKl0KohSdohSZSZSMCAEtc6yENXl5i:TbSCmglUW+l6csSZSZSMCAEtnyENXlc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8c86373d9d1e3c8 |
|
VISUAL
aHash
|
6018181818000000 |
|
VISUAL
dHash
|
8030b03030001000 |
|
VISUAL
wHash
|
ff183c3c3c100000 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
8030b03030001000 |
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 348 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.