Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19513E83214C82B7B95C343C5F311DA0BF3958180E676CA8DF1EAC72B62C9E55C867B98 |
|
CONTENT
ssdeep
|
768:GvWwaPcpFpvuNqTjmXrs0jhWdzTUKBO/Wp2UZq1PjHkInrXnWR5PS2X91KCZX2Zf:GvWkpLvTjmjGXUeO/P117J3O5JKCZX2J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416eb4acb9a9696 |
|
VISUAL
aHash
|
ff0006060604ffff |
|
VISUAL
dHash
|
71cceccceccc313a |
|
VISUAL
wHash
|
ff0006060606ffff |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
0001496161c9014a,96d6e8b094710f8e,30003c300b2c3b13,d9ccecccccecccc0 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)