Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1D23F357482203B472B15DDB52AB70EB2E7965ECB2309817BFC27E44BD5CE8EE12116 |
|
CONTENT
ssdeep
|
768:TM9s3DuAz9FIre49cMQZi6JIxyJCSiKpb354vgqQ9/i8qhwyW+9:TJuCIre49cMQZi6JIxyJniKpb352XQ9o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e93ac2cd92c6496b |
|
VISUAL
aHash
|
ff81819f99f1f1ff |
|
VISUAL
dHash
|
8123233c3b232323 |
|
VISUAL
wHash
|
f981818f89f1c1f9 |
|
VISUAL
colorHash
|
06c01008000 |
|
VISUAL
cropResistant
|
8123233c3b232323,0000808080000804,27313959321a3319 |
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 24 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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain