Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140E1716126A0257F61632BEDF660B765E0EB4249C407DE3CF0BE82B10BD6CE9ED0B051 |
|
CONTENT
ssdeep
|
96:T34Pik4PaojIiErNl5VIRZ4eDhPjuIn97DhYooCFSCT5osS8LIPSOlVOIKWIYxXx:T9R0rVW4eYw7t3Mca6TRWrMiME2PE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1f2ad0c63c9671e |
|
VISUAL
aHash
|
e1e5e464001b1b03 |
|
VISUAL
dHash
|
978dccd83632324e |
|
VISUAL
wHash
|
e3e7e6e4011b1b23 |
|
VISUAL
colorHash
|
38003000048 |
|
VISUAL
cropResistant
|
978dccd83632324e |
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 20 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.