Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113621B79722836A58E0343DAA93663B9E617917D9E7302D8D798C31873C59FC8C219C6 |
|
CONTENT
ssdeep
|
192:QowoBF5oxyxrDc0fFKLDxku9cuGRmKbMpBXp7sfgg8gk:QBoioxHjlsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be9ad562c1a93594 |
|
VISUAL
aHash
|
fffd81818181ffff |
|
VISUAL
dHash
|
0f5d397135553dce |
|
VISUAL
wHash
|
ff9d0181818187ff |
|
VISUAL
colorHash
|
0f610000000 |
|
VISUAL
cropResistant
|
0f5d397135553dce,626ac6d6e4bcf97a,8bc370bee9b1baaa,a282c44b3351a2b2,a2a2ee3313a6a2a2,bc3cbbf17136d616 |
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 489 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.