Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D931AF191C4F1F685078BE4E836677A329721BEDF528A48A3E85BC4EBD5C9C8C44D84 |
|
CONTENT
ssdeep
|
1536:gn/qckyLTKsO/AN7IcCtXjfxV6AkOEZaEI3IKBACfiomh1Ii8KrCrKyqAOKXgWe:BDdTHXgWe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bea35ae15ac1588d |
|
VISUAL
aHash
|
3d079f9fbf87ff8c |
|
VISUAL
dHash
|
e92f3c396a0e6e31 |
|
VISUAL
wHash
|
18070f1f9f03df8c |
|
VISUAL
colorHash
|
07002000e00 |
|
VISUAL
cropResistant
|
e92f3c396a0e6e31 |
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 2147 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.