Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C242AF8536893F4D6864BE4E9711905336920FFBB908B98C3618DE0F9B26CDD479CA1 |
|
CONTENT
ssdeep
|
3072:11DoTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1D1:7b7jDw/47g7/tV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2937d45c2927d2d |
|
VISUAL
aHash
|
ffcfcf7f65000000 |
|
VISUAL
dHash
|
8c0b2bd5d50f2f2b |
|
VISUAL
wHash
|
7ecfff7f67000000 |
|
VISUAL
colorHash
|
38018000600 |
|
VISUAL
cropResistant
|
8c0b2bd5d50f2f2b |
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 629 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.