Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6933CF43C09B5375A6343C620EB0A0771A9511BDD0C4CA0A3D4EEE567FECA9546FE8A |
|
CONTENT
ssdeep
|
1536:37PrUsD+HbzJVitu+klegZkatGoUbfZ9yivmTfRLRdxVD3DX:37PrUe+HbzJVzJCyNLRtdxVHX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ceca6869e1d6925c |
|
VISUAL
aHash
|
00183c3e181000ff |
|
VISUAL
dHash
|
d173686cb2b274d4 |
|
VISUAL
wHash
|
71383e3e18181cff |
|
VISUAL
colorHash
|
38c00018000 |
|
VISUAL
cropResistant
|
d173686cb2b274d4 |
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 165 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.