Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8E330309118DC2AA1AB94D9A17657AE30E98346C60B0748FBF593F456CFCBDDE37188 |
|
CONTENT
ssdeep
|
1536:4smsIxg94VEIo03QgfAgObZDE2aV8VXG75SJ1KfkOy7d:4sm24Vt7EbZNaVWXG75S8ly7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9993666c9993336c |
|
VISUAL
aHash
|
00000c3c18000000 |
|
VISUAL
dHash
|
0004487932081000 |
|
VISUAL
wHash
|
c0c0fcfc3c3c0c0c |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
0004487932081000 |
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 45 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.