Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7623B79B22012B4DE0343CEFE2673ABF21740AED61657C8D79A431C7694DEE8925DC2 |
|
CONTENT
ssdeep
|
192:Qo4oB6CJ54t94aRn3RIepaSl3qiwH7nH1TJku9cuGRmKbMpBXp7sfgg8gk:QXoC3RRIepJl3qv7n1usmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a552ad5aa55ab |
|
VISUAL
aHash
|
0f1f3f7f3f033f7e |
|
VISUAL
dHash
|
1971c1c9de0f69c2 |
|
VISUAL
wHash
|
0f013f7f0f07017e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
1971c1c9de0f69c2 |
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.