Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED61A66871800DADA443C7B1F394BB6A1C5DC35BCB8B1299E5E8C07DA792C20DD112A4 |
|
CONTENT
ssdeep
|
48:THrNmTNMic2hS7Pup1ZcY/E+hFlbK+P9DXPp44uENcWK6oHSENcWKXY//:TUN872rTOmlXPp44uqDHY// |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
994d667399cccc19 |
|
VISUAL
aHash
|
000018181818e7ff |
|
VISUAL
dHash
|
324db2b2b2b20d30 |
|
VISUAL
wHash
|
000018189cffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
8e8ea2d0b2ba3333,324db2b2b2b20d30 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)