Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0D28E20750059B351ABCAD5D5707F6972B7F31BC24EC4269AA880860FE7CEDBE11BB1 |
|
CONTENT
ssdeep
|
192:6p3R/ZtBJw5pKTVy6Vg6P106cjqoQ8+qj/eGTtdxLWLQQoCILJOgtOsLhdye2keF:EOjqoQ8ZmrYnJXd58KpO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fbd00c3f41e3849e |
|
VISUAL
aHash
|
1980ffe000818100 |
|
VISUAL
dHash
|
1128aa8203031315 |
|
VISUAL
wHash
|
fff1ffe080818118 |
|
VISUAL
colorHash
|
30000007000 |
|
VISUAL
cropResistant
|
a282100c0c0882a2,a282184c4c1082a2,1128aa8203031315 |
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 26 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.