Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AF2E110B42B6D5B0167D0C0D8A17F0EB19AF30FC615694A1BBD539A9FDFC787A8A4B0 |
|
CONTENT
ssdeep
|
768:G7gAYVAM9KMlVsX8Ev43vDv2E0Xa6AbdnGLPW/l:ugAYVAM91lVssEv43vDv2E0Xa6AbdnGe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d7133a535313135b |
|
VISUAL
aHash
|
00ffffffff0000ff |
|
VISUAL
dHash
|
4916100240602020 |
|
VISUAL
wHash
|
00fffffe080000ff |
|
VISUAL
colorHash
|
07030000600 |
|
VISUAL
cropResistant
|
4916100240602020,00008000002649c9 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.