Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130443CF5536853F0D6470BE4E9711A46336910FFBB914A88C3A18EE0FAF29D9D439CA1 |
|
CONTENT
ssdeep
|
3072:ePD1Ta7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1Dk:007jDw/47g7/tE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8d37de4829b5c64 |
|
VISUAL
aHash
|
668185ffffc38100 |
|
VISUAL
dHash
|
8c0b29d9d7272f2b |
|
VISUAL
wHash
|
6281cfffffc18100 |
|
VISUAL
colorHash
|
18030000400 |
|
VISUAL
cropResistant
|
8c0b29d9d7272f2b |
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 619 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)