Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170E2C8317110763B4287D2C9B762F72AA3EB4349DA46094592FDC36D0BA3DA1DE3391E |
|
CONTENT
ssdeep
|
768:WS5y5NHt2Eg7zZYhtX1EFw86SRF7sOy2+y9BH4crIe:GY2tPIF7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b26bed128d6d9283 |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
0d094b63cd0c3300 |
|
VISUAL
wHash
|
80e5e1010c0effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,0a0d490b4bcd5c33 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)