Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA921A69B21C37640D0303E6AF5217FAF31350BCD62157A8D699C11CB2955E98EF3ECA |
|
CONTENT
ssdeep
|
192:QoOoB6CJ54t94NlccetaXSuU9Kxg8Upcfcg+RPpBGLUfoK8Q6KRzCuku9cuGRmKo:QtoCGmaXcKYTXBRof1KsxsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a55aa55ba5d2a |
|
VISUAL
aHash
|
077f017f3f133f3e |
|
VISUAL
dHash
|
6dc773d9c1236366 |
|
VISUAL
wHash
|
077b010f3f013f3e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
6dc773d9c1236366 |
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.