Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14881B730C554641F968B5294CC3F819BE726E3BB914E0569A1FE93F01ECB95EF707060 |
|
CONTENT
ssdeep
|
96:TkSjT9bxeYQk06/A4zoVLSDlS/OynksU4W:Q0Rgq/hp4W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c4c7333d933cccc |
|
VISUAL
aHash
|
0000181818dbffff |
|
VISUAL
dHash
|
00303232b2320c10 |
|
VISUAL
wHash
|
00001818d8ffffff |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
00303232b2320c10 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.