Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFE2C932B010793B429792DDB661BB2FA2E34309DA460401E5FD83FE1BA3D55EA37716 |
|
CONTENT
ssdeep
|
768:q5y5NoPtOmIUPPYic2E178SCLk7sOy2+y9BH4crIe:ItVI0Y3J8Sv7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1ced20c5e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
92c8c8c2cacc8c00 |
|
VISUAL
wHash
|
0064fc70201cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,d288c8c2cac8cc0c |
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.