Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B1297291208293D9A1387E4FBE9B33960BA8349D21F955CE2BD03B15787E85EC377D4 |
|
CONTENT
ssdeep
|
96:X2Or2BfIEi8k/wqSdMk1kMv2u352cdSTak+cHDsgo7kMkokLokyVtkhtPk6k1qH5:GThhQwqyJD2cMeLcDpsnXL4tPh9vW4P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b28ce66699996666 |
|
VISUAL
aHash
|
ffffffffe7e7e7e7 |
|
VISUAL
dHash
|
484c4c0c4d4d4d4d |
|
VISUAL
wHash
|
e724240027272727 |
|
VISUAL
colorHash
|
072020000c0 |
|
VISUAL
cropResistant
|
484c4c0c4d4d4d4d,0100000000000000 |
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 8 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.