Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11382F86AE21513B19AC743DAFF2662EEF31340D992263FCC9669420CF29D5EF8815CC5 |
|
CONTENT
ssdeep
|
192:QohoB6CJ54t94Eb+LI/x8NDznixCLI83axX68ku9cuGRmKbMpBXp7sfgg8gk:QGoCd+8KNDznixiISMQsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a15aad5aa55ea |
|
VISUAL
aHash
|
1f03017f7f3f0f1e |
|
VISUAL
dHash
|
34f3c3c9c0f0cdda |
|
VISUAL
wHash
|
1f01017f7f1f070e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
34f3c3c9c0f0cdda |
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 490 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.