Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AB4B6F5638056BBA10F87E8F130F749B09BA16ECA97C588D3EC47D26AC1CD99C941C9 |
|
CONTENT
ssdeep
|
3072:fA73odliqhlPP36kItiIN2NoYcms3EmwNhE0odliqhlPP36kItiIN2NoYcms3EmH:Eg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9613e969faaa69c0 |
|
VISUAL
aHash
|
00063e060400ffff |
|
VISUAL
dHash
|
59dcdc6c6c43ad8d |
|
VISUAL
wHash
|
0c0e3e160620ffff |
|
VISUAL
colorHash
|
06407000000 |
|
VISUAL
cropResistant
|
59dcdc6c6c43ad8d,5131b33333323a3b,3590898601494888,4545657131455145 |
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 111 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.