Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AD18B5181416D9342134BD0A737A6A776C0814ACF07491452F84BEFFAFECB8DE2F6A9 |
|
CONTENT
ssdeep
|
48:pST4OKKNbMJaBaoBy3vBiBh2DHc7DHCmDHRvDHWfXo7DH3GeRqDKXBh2DHcfb5Dh:ahC5Sh0eqmxhloazGmGdPfk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1c336ce6193c69a |
|
VISUAL
aHash
|
e7c3e7e3c3e3c7c3 |
|
VISUAL
dHash
|
0f860c1e96868e96 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06c00010000 |
|
VISUAL
cropResistant
|
0f860c1e96868e96,7d69696d61656d2b,d494d4d4d4e4e4e4,5694d4d654549652,00a15a5e16ace50a,90709333325f170c,731233634c4e1d1f,6564c366e6e62620 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)