Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B655157AEC0C5A09707675CDE3DC0D8FE995F357E72218E696C5CF31818A818B82A97C |
|
CONTENT
ssdeep
|
3072:lQ+fS8chNQDu0q7hNQlu0QhNQ5u0wn9iXY:lTfS8GGI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3301e4b5b3b126b |
|
VISUAL
aHash
|
00e7c3e7f9ff81e3 |
|
VISUAL
dHash
|
39078f8f434b0b0f |
|
VISUAL
wHash
|
00c3c3e3e9fd81cb |
|
VISUAL
colorHash
|
06000010010 |
|
VISUAL
cropResistant
|
190f8f9f435b0b0f,0418597939795804,a3926848587ca6a6 |
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 81 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.