Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180B16472E054AD320B5281C2FBB7776FB5F2C605CB424F6422F8532E0BCBDA2C912499 |
|
CONTENT
ssdeep
|
96:T5AzYtfeSTJ8v67MICtcCmS03HST5+AT431:lAzYtz98iIDK+03yP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939c4c423d387d3 |
|
VISUAL
aHash
|
c3818181c1ffffff |
|
VISUAL
dHash
|
333b0b0b0b8428c2 |
|
VISUAL
wHash
|
8181818181ffff3f |
|
VISUAL
colorHash
|
07609000040 |
|
VISUAL
cropResistant
|
333b0b0b0b8428c2,a496808082c0f0ec,dcf47dd4b434989b,40606ccc8c8ccc6c |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.