Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F572C53ED054B63B418351F9BB7557AF72808286CE0B4B476AFA831A1FD3E72DD22245 |
|
CONTENT
ssdeep
|
384:VfwHAQumNAg429qORcvchgC9qs3yLUV9q1Xy:G+mShKP2C3HdHCy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d2435a797a4359d |
|
VISUAL
aHash
|
6218183c3c181818 |
|
VISUAL
dHash
|
9631b27169f2323a |
|
VISUAL
wHash
|
7e3c3c3e3c70183c |
|
VISUAL
colorHash
|
38018030000 |
|
VISUAL
cropResistant
|
2d1cd449aa213232,9631b27169f2323a |
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.