Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125B25FB5E0A566734273C5C662B7A77BB6D28188EE531204C3BD07BC13DEEA4F807985 |
|
CONTENT
ssdeep
|
384:vZi2LEnYlDjgmD3/AYriMgSG/FLa616+Ljhgeajam5Q0J1PLlmE1:weEnEDjgu3/AZSG9W616wI0o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c99ca6e3a6a6c199 |
|
VISUAL
aHash
|
ff1818181878343c |
|
VISUAL
dHash
|
64b2b228b2d0ccd4 |
|
VISUAL
wHash
|
ff181818187c7c7e |
|
VISUAL
colorHash
|
38000018c00 |
|
VISUAL
cropResistant
|
c5732367ebab336d,64b2b228b2d0ccd4 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.