Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B622A5B19614312B0B0B1999F4D5470972F3C30CE7932AC4BBDC47E52FCAEA2A926257 |
|
CONTENT
ssdeep
|
192:cE6xqoBtMLJmO3RQCEOqCzoRDt8t8lzDTgcTBRsvNDEK/Qm48tK:cN6jqKoRqajgcBSvND5BK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc31c633ce2cb366 |
|
VISUAL
aHash
|
0000181800003c3c |
|
VISUAL
dHash
|
011030b270006161 |
|
VISUAL
wHash
|
0118181818003c3c |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
80000c0c0c0000a2,a200040c0c0c0080,06c1c1290d696108,011030b270006161 |
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 13 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.