Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFE2503191A05A3B94838AC5AA78F62AE3C3D309CF030286D3F5C75F6BD7D60DC56669 |
|
CONTENT
ssdeep
|
384:sBb6uoed2Mv8vsPPJnU/NCpeYPy2hhJhhhJoNuD1lniUM63jdjZF6vRI:2bpd2Mv8vsPPJnU/N/bg/niUM63jdmZI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c5ca3c921f6b472 |
|
VISUAL
aHash
|
1818181818bfbcbf |
|
VISUAL
dHash
|
32b0b0f0b2323233 |
|
VISUAL
wHash
|
1818181818fffdbf |
|
VISUAL
colorHash
|
16600218000 |
|
VISUAL
cropResistant
|
96b2b0ceb2bca413,c2a0b2b2baba8090,32b0b0f0b2323233,8200004101010101 |
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 74 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.