Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13513C8707010115F812B8BD5E6706B4F6183F74FCB6384D1A3DA42726EDBC9AEDA2895 |
|
CONTENT
ssdeep
|
384:28cdfNWLzW2p/Vtu98mMp4SWzKcZ3Lvfli2IrXYRAr1xuk4U+lkJJu:28cizW2pdtuXzKcZbv42IrSArCk4Zlr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc883af2706565dd |
|
VISUAL
aHash
|
563d3b52dcb83800 |
|
VISUAL
dHash
|
94a15294b16a6090 |
|
VISUAL
wHash
|
567d3b56dcb83840 |
|
VISUAL
colorHash
|
38000000038 |
|
VISUAL
cropResistant
|
94a15294b16a6090 |
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 7498 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.