Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF15EEF3E181A5391FF2C2C8F724B32CD3C34589FA99C69A61A15B0D6AC4F7255424EB |
|
CONTENT
ssdeep
|
12288:ecetL/beMw52tI6XyZyGVL/wGqiGr1opm:xoeMwQQVpm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcc3c33cc3375819 |
|
VISUAL
aHash
|
ffff88878f87878f |
|
VISUAL
dHash
|
cd96392b36343e1e |
|
VISUAL
wHash
|
f0fa80898f87878f |
|
VISUAL
colorHash
|
07003200000 |
|
VISUAL
cropResistant
|
cd96392b36343e1e |
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 996 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.
Found 1 other scan for this domain