Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FC3A431F220315E5733D3CA75A2DF8EE273F54CDA32A558EE90A12B26D9CB60C259C5 |
|
CONTENT
ssdeep
|
1536:j3TxhM1ZghITATashNMg2sv8aRiumyK/LNGJrQHSQ8l21Znhvsfkceeah6stTahg:bjcRZX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f435105755dd9e0c |
|
VISUAL
aHash
|
024357e263fdffdd |
|
VISUAL
dHash
|
1c8f9586ce55aabd |
|
VISUAL
wHash
|
064313e243ecfed5 |
|
VISUAL
colorHash
|
07401000001 |
|
VISUAL
cropResistant
|
1c8f9586ce55aabd |
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 362 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.