Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15EA28AF22647492EEE5BC1CAFE692F899187931BC2405C48FBE24657DF42E24FC4D660 |
|
CONTENT
ssdeep
|
384:jp8gnPbplrsVpZ7viJBJBse+fZN1zaDbcduhsty0gKIBKen8QT/rifyzJZl2V1BS:j1bplrsVpZ7viJBJBse+fZHzaDbcduht |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f18acdab642a598e |
|
VISUAL
aHash
|
bfefffc3e3c3e742 |
|
VISUAL
dHash
|
490c000e0e1e0e96 |
|
VISUAL
wHash
|
a1c3ffc3c3c3c340 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
490c000e0e1e0e96 |
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 151 techniques to evade detection by security scanners and make reverse engineering more difficult.