Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15814317823183E6D641B8BA8F7A4FB29136D9290F95ED06C95BC627117C7C88FC279C4 |
|
CONTENT
ssdeep
|
1536:VM5ebbbbebbbb+LbbbbVbbbbubbbbibbbbQbbbbnbbbbCbbbbybbbbKbbbbhbbbJ:V1hB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c187766c949cd33 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
700c32b2b2b24c0c |
|
VISUAL
wHash
|
00879bdbdbdbc380 |
|
VISUAL
colorHash
|
0e400000203 |
|
VISUAL
cropResistant
|
f08c8c33712b4515,700c32b2b2b24c0c |
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 200 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.