Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120A3ED238229752B4433C3C130A95B3BD1A69A9FFEE709400EDDC7F62AF9C90741A56D |
|
CONTENT
ssdeep
|
1536:/xXuxFxDtpR4nXBKpSpFl26vutv894C/GnRq8n:/xexFxvUMXtv894C/GnRq8n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93176d0313177d4d |
|
VISUAL
aHash
|
001f0f2e3f0f01e7 |
|
VISUAL
dHash
|
9cbf7cdcdcb8b31f |
|
VISUAL
wHash
|
000f0f3f3f0f01ef |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cdcdcb9f30f,dcbf3cdcdcd8bb77,cd9513933137a5cd,65074b456367666d,68100c32320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.