Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F720A6AF21833704E8343E6EF6116FDB31341BDC6126B4CD669C208F2999EE86539C3 |
|
CONTENT
ssdeep
|
192:QoLoB6CJ54t9s9+iIctNArWiDDCFDuLiWcRoku9cuGRmKbMpBXp7sfgg8gk:QWoCof84DLrRzsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e963c73e1cb013c3 |
|
VISUAL
aHash
|
fbf3e1c18181ffff |
|
VISUAL
dHash
|
73439313333b3b86 |
|
VISUAL
wHash
|
f9f1c1818181c3ff |
|
VISUAL
colorHash
|
06002000e00 |
|
VISUAL
cropResistant
|
73439313333b3b86,eceb696cb1c1b32c,494949906c3737d2,0000303030100810,410830303371e89e |
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 485 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.