Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DB11C309069CC6B524B81D572709F4E33E1C281DB734B0423F9A7AD6EDACA7FD56294 |
|
CONTENT
ssdeep
|
48:T7YRw9lMQR5kCKyB3UBRMRCOQeBTmhOkBRU5COEB12/OHBRI/AOJB51o4K30h6Y/:TgMMwkCnUqlX/OQp1o4K301C5QkyUM5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b676c94165cc9dc1 |
|
VISUAL
aHash
|
e7c3c3c3c3e7ffff |
|
VISUAL
dHash
|
8c0d0c0c0c0c000c |
|
VISUAL
wHash
|
c2c283828283ffff |
|
VISUAL
colorHash
|
07000018248 |
|
VISUAL
cropResistant
|
8c0d0c0c0c0c000c,889040c8c8908086,1664e0c6a6a4d070 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.