Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8A2537870423463657387D0F4A05F09729BEB76C3154A18F3E916A66FCACE99C623EC |
|
CONTENT
ssdeep
|
384:LsLwJAjQIf7pm4+s+DY3BLfvXLfFALfDGLfUeLfUhrCtTzhBeC3L:7SQIf7uDY3BLfvXLfFALfDGLfUeLfUhW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df88ab2b8a2aaa2b |
|
VISUAL
aHash
|
bffe1818008080ff |
|
VISUAL
dHash
|
7330303149050101 |
|
VISUAL
wHash
|
ffff1818008181ff |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
7330303149050101 |
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 625 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.