Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14693B7F18144A6A2434393F4EB3A176A72DAD0DDDB42468483F8CB69EFD9DE2EC11D44 |
|
CONTENT
ssdeep
|
1536:0ejhoOAY/2wneeepeeepeeeKeeekeeeCeeeQeeeeeeeEeeekeeepeeeteeeLeeei:fhoOAY/9WIk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a007fa3f59a9c5e0 |
|
VISUAL
aHash
|
07077f0f4707cbd9 |
|
VISUAL
dHash
|
3eecc6dedebeb3b1 |
|
VISUAL
wHash
|
07077f074707c3d9 |
|
VISUAL
colorHash
|
10400038000 |
|
VISUAL
cropResistant
|
3eecc6dedebeb3b1 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.