Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CC2B831E0406A374297C2CEB362672F52E7430ADF46065992FD876D5BE3D90DE6342E |
|
CONTENT
ssdeep
|
384:n9QepTqnfIRQeypV6RpVh0Ki9WLja99T4Pasjh4NIYsOy2+y9BH4cCUIe:9QepTqEThI9WLm9WK7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9829b9c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
38ccc8c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30006465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,38ccccc8c8cd8d8b |
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)