Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FA36A33415935274437C6D430A55B3BE2E68A9FFAE70A010EECD7EA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:dvLz4NP/y9svbliCd3WbIoFFtiuCa28y2O9:1mAwWJG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272d42a856de569 |
|
VISUAL
aHash
|
00000000000010ff |
|
VISUAL
dHash
|
0c0cc849cdcf61f8 |
|
VISUAL
wHash
|
80c4e0300f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6900a080303080a0,9c2c9848d9cd0f61 |
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.