Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DB3832123111D2EB2174FA8F381737A61AF6399E41F9008F23F2175A7EBCD49E67954 |
|
CONTENT
ssdeep
|
768:q1f2IuWLg8b0QtWP5aKtfFHxF551rBR/J37rzPFzr1EzTJAau0Qm5t/qcsiTbeQ0:OLa5HSbJw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e629d0cbdd267462 |
|
VISUAL
aHash
|
bd7f43b9b9e6e7fc |
|
VISUAL
dHash
|
63c6ce6b2bcc4d24 |
|
VISUAL
wHash
|
397f43a580e4e4f4 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
63c6ce6b2bcc4d24 |
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 262 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.