Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBA36933411935274437C6D130A55B3BE2A6D99FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:07Lz4NP/y9svbliCd+Op5H1NlFtiuCa28y2O9:wmA93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d26ced33b8339906 |
|
VISUAL
aHash
|
00607400000024ff |
|
VISUAL
dHash
|
9cccc4ccecccccc8 |
|
VISUAL
wHash
|
00f6ff66042464ff |
|
VISUAL
colorHash
|
32000680200 |
|
VISUAL
cropResistant
|
4c80852030208080,9cccc4dceccccccc |
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.