Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A232F206840ED2742CB59C9A6365B2562FA4345D2120A88FAFCD3FE1BDFC2DDB37654 |
|
CONTENT
ssdeep
|
768:wIsqEgzBLGgr9ssIx/jJ7IsjD7mlvteSSujjjjjjjjj9Bg1kUf7zd4FbG2w:wIsqEgFssIx97P7mlvteSSujjjjjjjjY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89fdd6ad9c207609 |
|
VISUAL
aHash
|
ffff0000000003ff |
|
VISUAL
dHash
|
007313333333cf80 |
|
VISUAL
wHash
|
ffff000001007fff |
|
VISUAL
colorHash
|
16003003000 |
|
VISUAL
cropResistant
|
00000023230023c0,c780c00080000404,f113133333333bd7 |
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 63 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.