Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121B2EDB5D110A86109539BF0F63E4FDB6D828B68D9D3564A90FD43882B87CF2FDE8214 |
|
CONTENT
ssdeep
|
192:JlC1JEMP/nIX4vRlB4L8fJCWPln6I76IKygetVlrBEMm0MfGAU9RJoT0lfln0xvP:QwACWPlxlKEVrEMm0MfGLhaRP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9364646571c3cf9a |
|
VISUAL
aHash
|
00007e7e7e7e7e7e |
|
VISUAL
dHash
|
9696795979797979 |
|
VISUAL
wHash
|
8080bcbcbcbcbcbc |
|
VISUAL
colorHash
|
07001030000 |
|
VISUAL
cropResistant
|
9696795979797979,0040202020004000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.