Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1350202708004A81B2E87DDD91AE1E70D99A3C339EA1316C8F3696DCD6FDDDB1C059EA1 |
|
CONTENT
ssdeep
|
192:QBsTs0ISyq626ystNF666P/v61lQfn0Sg9:QBszUWE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb95d44accb5cc48 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
5a5a5b585b5b585a |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
1e0000001c0 |
|
VISUAL
cropResistant
|
5a5a5b585b5b585a,0000046060040000 |
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 8385 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.