Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA520AB9E22423B29A4243E6FE2132EAB503506D96637F9CD724825CB1D9CEE8911DC5 |
|
CONTENT
ssdeep
|
192:QoBoB6CJ54t996DWOyj+Re6o0Sinzvmku9cuGRmKbMpBXp7sfgg8gk:QWoCI9y6RePsnbZsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0aa55bac7ac519a |
|
VISUAL
aHash
|
fbc3c3f7ffc7c7c6 |
|
VISUAL
dHash
|
32969624499cbd88 |
|
VISUAL
wHash
|
d8c0c0d0dfc7c6c6 |
|
VISUAL
colorHash
|
07000200038 |
|
VISUAL
cropResistant
|
32969624499cbd88 |
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.