Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE933BA03958F6675AB743D3A0DF1403B3B8152B540D4D606354ECEE62BCC9FA0A7F9A |
|
CONTENT
ssdeep
|
1536:uB38XG/TVq53QSoHxh8N6MmbXhjaPnQsR+96mujHjK/:2TjzmN6/btZ96/Hjq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c327c33838d33cc7 |
|
VISUAL
aHash
|
07737000000070f8 |
|
VISUAL
dHash
|
ddcbcb404030c8c0 |
|
VISUAL
wHash
|
277373200080ffff |
|
VISUAL
colorHash
|
38000008180 |
|
VISUAL
cropResistant
|
ddcbcb404030c8c0 |
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 272 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.