Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FC243207200222B5033DBDCAA3263596667F71BD9450FAA917C47B48FDFCEAB19BD14 |
|
CONTENT
ssdeep
|
384:lxjASgU2kNAm+xoxpftCOe4y/jrmnweTk9i:lxHt2zktCOe4y/jSwZo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d13b2e2ed19be064 |
|
VISUAL
aHash
|
01006e6c6c501878 |
|
VISUAL
dHash
|
695c98d898947080 |
|
VISUAL
wHash
|
010c6e7e7e1c1c7e |
|
VISUAL
colorHash
|
38000403008 |
|
VISUAL
cropResistant
|
695c98d898947080 |
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.