Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AA3BD23421A35274437C2C134795B7BD1A68D9FFAE70A014EDC8BFA6BF9CA0745A21D |
|
CONTENT
ssdeep
|
768:k6tpR4nXF6YjOpSpFlTC6rrvdJOmmJHmk6fjjX:k6tpR4nXBKpSpFl26vaJGHfjjX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ec6dbb124dcd |
|
VISUAL
aHash
|
00002c0c0400ffff |
|
VISUAL
dHash
|
1e6469d9c9c72d24 |
|
VISUAL
wHash
|
00043c2c3f21ffff |
|
VISUAL
colorHash
|
32000030000 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,0016c834262236a6,1aec6c69d9c9c7cd |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.