Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104421BB9B31012F1DE0393DAFA2632F9A103416EEA525A9CD3548718F3D9DFD8851EC5 |
|
CONTENT
ssdeep
|
192:Qo4oBF5oInpY0cI1Lnku9cuGRmKbMpBXp7sfgg8gk:QnoiiY0B1LksmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f388dd22dd22dd88 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e6 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3e2 |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
4d4d4d4d4d4d4d4c,3c3aeacacec84cd9,b2fdf869f1f8e0f3 |
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 490 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.