Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0B38933411935274437C6D530A55B3BE2A6DE4FFA970A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:S/VwLz4NP/y9svbliCdCwkUnEFtiuCa28y2O9:K0mAwZnH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f932bd6dd441 |
|
VISUAL
aHash
|
00007000040460ff |
|
VISUAL
dHash
|
98c8c4c2ccccc3b8 |
|
VISUAL
wHash
|
00647838260effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04318e8686042000,d004800158588090,9888c4c0c8ccccc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.