Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D83262C6145636685F3C7C0A4693F9D62C2A21BD68EC5024BFD63549FCEDE6FA400BE |
|
CONTENT
ssdeep
|
768:1uLLe5z535jFxcpxOM8s/L/hBGGlZ+9KG9bLRBGiEidi60iCtTzhBeC3Zc:1uLixFfxcGGS7H6iEimTzhBeC3Zc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90ad3a2fd1c7c03b |
|
VISUAL
aHash
|
00007effff7e0000 |
|
VISUAL
dHash
|
8e0fa680b2cc4d88 |
|
VISUAL
wHash
|
0000ffffffff0000 |
|
VISUAL
colorHash
|
0a008000e00 |
|
VISUAL
cropResistant
|
a2804280c211c080,8e0fa680b2cc4d88 |
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 3640 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.