Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7235AB26722B8A843DB91EEE7383D55B2D1489DF8CB4414F5C95A8E13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a+LJ+EsZx8/G8S4QfDawUMSBpwNjMSBUwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqS:a+LJ+EsZ/8lQfDawUMSBpwNjMSBUw0NH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6bc06ec4c59590 |
|
VISUAL
aHash
|
818185838181ffff |
|
VISUAL
dHash
|
23395d5d5d5d3d00 |
|
VISUAL
wHash
|
c18187838181ffff |
|
VISUAL
colorHash
|
16000610000 |
|
VISUAL
cropResistant
|
23395d5d5d5d3d00,0000000000000000,63619e9a9a9e9e7a |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)