Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E051543E3255016B2A434B957751BF3DF2EBDB5ECB63CD68BAA8D1C513C6C518E42180 |
|
CONTENT
ssdeep
|
48:TxqHeujoINTAZ2aakQhrhgnaAWtk0FH03qAFZ5jtjsCZZ:Tie5IpAOhdgJYFHoTFZ5jtjsCZZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9496995b494b4b6 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
5b5b5b5b5a5a5a1b |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
33007000000 |
|
VISUAL
cropResistant
|
1496161400000003,0000000000008080 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)