Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171435120A841E93B45EB95C95A321B6672F64346C7130988FAF883EC1BDFC1DDE37664 |
|
CONTENT
ssdeep
|
1536:uGMsIx/OnNm9348nYND+89P1Frq2bhu7ZF:u/jqN848nYND+89H+2bs7P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d1a9233e512ef32 |
|
VISUAL
aHash
|
0c10181800002cff |
|
VISUAL
dHash
|
d8707032565bd926 |
|
VISUAL
wHash
|
0c1c3c1a90ad7cff |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
d400010222300227,d8f07072325259d9 |
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 23184 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.