Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197A38B33415935274437C6D530A55B3BE2E68A9FFAE70A010EECD7EA1BFACA0744711A |
|
CONTENT
ssdeep
|
1536:7LILz4NP/y9svbliCdpynFtiuCa28y2O9:3mmACf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d672f43a914dc549 |
|
VISUAL
aHash
|
00042000000001ff |
|
VISUAL
dHash
|
1c0cc0c0d9cd0fb0 |
|
VISUAL
wHash
|
00c4f8300d07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,9c0c44c4c9cdcf1b |
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.