Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F255157AEC0C5A09707675CDE3DC0D8FE995F357E72218E696C5CF31818A818B82A97C |
|
CONTENT
ssdeep
|
3072:R+fS8chNQDu0q7hNQlu01hNQ5u0AMwDX6:R+fS8GrwDK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3711e4e4a1d431f |
|
VISUAL
aHash
|
00c7c3c7f9fd9fff |
|
VISUAL
dHash
|
191f9f9f43532e29 |
|
VISUAL
wHash
|
00c3c3c3e1f98b9f |
|
VISUAL
colorHash
|
06000008098 |
|
VISUAL
cropResistant
|
191f9f9f43532e29,44c126a25aa9d294,0418597939795804,39c5c5d4d4cdcb3b |
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 79 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.