Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C78230F68BD55F3355A2C2C66FB06B5D7BA2824DC9868982D1FCD7584FC2FA2EC02015 |
|
CONTENT
ssdeep
|
384:Ko1Zz6gMpfe0i7nvLZvMGVPZedXM5ovyBsxyI3rWy0:f6gsfHi7nTZUG18d+ovyBsxyIa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6c471b47473c43 |
|
VISUAL
aHash
|
00d3d3c7cf8fefff |
|
VISUAL
dHash
|
c7363636383c0c0c |
|
VISUAL
wHash
|
0083c383c787e7ef |
|
VISUAL
colorHash
|
072020000c0 |
|
VISUAL
cropResistant
|
c7363636383c0c0c |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.