Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128D12FF1E404DD37035385D9B7BA6B0BB6E1C785CE03064467F883AA4BEAD50CE1668A |
|
CONTENT
ssdeep
|
96:Tk6QdfbzDJ1tkUc3t8v67MYdiOqOF/A2lUXKjUF5A272Xsy/JCc2iNYAC1GN4ACL:Q6QdfbzDJ1bc3t8iICiS5gjjyR/qrLrL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b847c71cce43b8 |
|
VISUAL
aHash
|
ffffffdfdfffff00 |
|
VISUAL
dHash
|
2018183030400000 |
|
VISUAL
wHash
|
90f0c0c0dfdfff00 |
|
VISUAL
colorHash
|
070001c0000 |
|
VISUAL
cropResistant
|
2018183030002000,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)