Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D063657312867E3B208382D28359D35AD3C6E609C76749C6D7E9436B36CADA0ED37168 |
|
CONTENT
ssdeep
|
1536:i1kZ2O4rGDcpB0CEQG4vSC0pi80px01yx8RQ8jt:zP5pTJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84187bc176cb6b1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86d383331c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
9154569b922b2b44,38789d9c8c8c8d8f,82a28a969696a882,c53a382323400f4d,968fe9d7832b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.