Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCA3F87832916436065705F1F1F2EF6972BDC31DE93F8CD9B398C6A7ABC8C94814A690 |
|
CONTENT
ssdeep
|
768:F1ZziKpVqFud02b3R25Nbs9FwRHbYO8BnXi+gRq/Y4fYr3uj5kUACtqyw2l8pPPX:FqKX3RINbWdNmkY+YbuFooc7I6rR8Qv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc7d3780842237fc |
|
VISUAL
aHash
|
0298983c3c3c3c3c |
|
VISUAL
dHash
|
c43070f0f0f0e8f8 |
|
VISUAL
wHash
|
02989c3c7e7e3c3c |
|
VISUAL
colorHash
|
30600008040 |
|
VISUAL
cropResistant
|
78f8f4e6cbd99599,c43070f0f0f0e8f8 |
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 1292 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.