Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD61B8E2004468170522B5D1EB57BF0560724317DF8F46B2ADDC56D9EEE8DF0D86A3C6 |
|
CONTENT
ssdeep
|
96:mubn2NG2m8pRmkY33GxEMK/xDTQmGkzjQl2LPk:l2NNLmkGGxEMK5DTFGkXBjk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ac8c3375d3d3067 |
|
VISUAL
aHash
|
187d7d3c1800087d |
|
VISUAL
dHash
|
f1e1f1f1f1f9f1f1 |
|
VISUAL
wHash
|
3c7d7d3c1c04187d |
|
VISUAL
colorHash
|
00002000180 |
|
VISUAL
cropResistant
|
f8f8f0f8f8f9fbff,ffffffffffffffff,f8f8f8f8f8f8f8f0,ffffffffffffffff,f1e1f1f1f1f9f1f1 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)