Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127C155618144DD770203D6F0F7A4EF27668BC395DB0A098152E8A3BF7AE6C80CE755DA |
|
CONTENT
ssdeep
|
96:RuUakVR6AWDldVfGf7FsGd2fPmR5mrDtc2bba:bRVR6AWD9e54WRErD+2bba |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ecbcb243660cb9a |
|
VISUAL
aHash
|
3c3c3c000000003c |
|
VISUAL
dHash
|
7171790e0c161668 |
|
VISUAL
wHash
|
feffffc70000003c |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
a2c0d080883233b3,d2cacbc092a75398,8680808080c0a2a2,7171790e0c161668 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.