Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCA3D8E583A075ED5217AFC8DB31BAAE715B74BFEFA38B84837843916687D94E404C04 |
|
CONTENT
ssdeep
|
1536:OXfbX0KvlQLfUUlplQLfUUNlQLfUUzR4CFsEAcO1+9fTirPMx:+vIjINIBFZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd1645d5d64994e1 |
|
VISUAL
aHash
|
3e01df99dfdf99fb |
|
VISUAL
dHash
|
ec4b33333032322a |
|
VISUAL
wHash
|
3e009b918fbf9983 |
|
VISUAL
colorHash
|
07000208180 |
|
VISUAL
cropResistant
|
ec4b33333032322a |
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 1084 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.
Found 10 other scans for this domain