Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F959D21B3523002B3BBDAC8F6A7CF9432025B62CA414E7DA9D9C635F4CC56278E5797 |
|
CONTENT
ssdeep
|
12288:fzyBwH3D+x2RHbbyReWwe0oCnfxU1SaLnfxNg/6ponK0fPEZPE6:fLW4aQfPEZPE6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f19b749b28518a75 |
|
VISUAL
aHash
|
c7c3c3c3c3ffc3c3 |
|
VISUAL
dHash
|
9e8e8e96960e9696 |
|
VISUAL
wHash
|
c3c3c3c3c3c7c2c3 |
|
VISUAL
colorHash
|
07000003400 |
|
VISUAL
cropResistant
|
9e8e8e96960e9696,93c9ac52526babad |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.