Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113237531E0046A37459782E2937AAF5FA3D3D318DB270A0556F8C36D6FCBD55CE262A0 |
|
CONTENT
ssdeep
|
768:n44MdJpWvamzodBBCoUroo9Q+IkfMonJomrveAomUNtP1KbPQV2PildXZm1eMbDN:n44gJpddBBJUr/9Q+IcrK3mUPafkdJy1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed69f8ccbac8 |
|
VISUAL
aHash
|
ff060e0e0e06f3ff |
|
VISUAL
dHash
|
2b5cdcdcdc6ce31c |
|
VISUAL
wHash
|
ff060e0e060671ff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
20412123233120c0,34766070800d47c0,5c9c6be3a35d2e1a,5c1cccdcdc9c5ce3 |
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 194 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.