Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133723AB7721012718E4343DABA6723AEB113906AD71256DCDB78821C73E48ECC536DC6 |
|
CONTENT
ssdeep
|
192:QofoB6CJ54t94NDoOmLQb7P5kUP95k/8cGeVvY1u+Gku9cuGRmKbMpBXp7sfgg8B:QKoCGcLQbr5Prk0xeFh+5smMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9daa452a552ad5ea |
|
VISUAL
aHash
|
011fbf0f1f0f0f82 |
|
VISUAL
dHash
|
4373675931595906 |
|
VISUAL
wHash
|
031fff0f1f0f8b00 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4373675931595906 |
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 490 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.