Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126C2A571A140263B1293C3CDB361B72ED3D7C289DA8A190652F8975D4FE7E94CE2353A |
|
CONTENT
ssdeep
|
768:cSCy5NYVXEuv51ZqXYkl7sOy2+y9BH4cLIe:eXM37sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367b432d52c92cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c4962c0c9c9a500 |
|
VISUAL
wHash
|
80ef3030240cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,0e4d4ae0c0c9c9e5 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.