Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D51753BD17C090A531299F0FBD1708EC18726CCDFC2AE865AD050ACB3297A640BC3D9 |
|
CONTENT
ssdeep
|
48:DnRURBRFsDPPRft+F+u/YPRevoYlPRitPRiPRc1PRe+eyi/xuON1HAE:D0zsDPZtw/QcvHItwIc+nsEON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a936163ed01f67e0 |
|
VISUAL
aHash
|
0303030343030303 |
|
VISUAL
dHash
|
2bcb9b93939b8bcb |
|
VISUAL
wHash
|
07036b4bcb03637f |
|
VISUAL
colorHash
|
31202200080 |
|
VISUAL
cropResistant
|
000000000000000d,a292a0069ac280a2,96e6c8c8898da8c4 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)