Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10192D765B218337046C343E6DF1222FDF32745EDD6516BACE2A98108F14D8EE87AB9C5 |
|
CONTENT
ssdeep
|
384:QOoCo7lG5G0fOIUuL03f6lqwGsmMpBZ7eg/B:1oh7MG0tUwQ6Dm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a55aa55aad5aa |
|
VISUAL
aHash
|
07017f0f3f3f7f7e |
|
VISUAL
dHash
|
2dcdc3d9f0e0c5c2 |
|
VISUAL
wHash
|
070001073f3f7f7e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2dcdc3d9f0e0c5c2 |
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.