Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF522BB4721822B48D0343D6BB6123FFB21381BDDA6257D8D764C21873949FC8975DC6 |
|
CONTENT
ssdeep
|
192:QoyoB6CJ54t94mzIXLxIFN9or428izIc9yj7ku9cuGRmKbMpBXp7sfgg8gk:QFoC1zIX1IFror1Zzz9kYsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
972a55aa55aa55aa |
|
VISUAL
aHash
|
07033d2b3fffffbe |
|
VISUAL
dHash
|
2cd7c14b63435d5e |
|
VISUAL
wHash
|
070301033fff3f8e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2cd7c14b63435d5e |
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.