Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1510396339140133F02B351D1A76E335D93B6D59CEB132A153AA8431D6792EACCA73EAD |
|
CONTENT
ssdeep
|
768:pDW44WvwNGv4kuszO+PWFtplbZwZq2D8yHdduJDHLw52KCln2Pmm:g44WvwNGwkuszO+PWFtplbKZq2D8y9d/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c1313686e4b67 |
|
VISUAL
aHash
|
00dff1f1f1ffffff |
|
VISUAL
dHash
|
303a232727300f0f |
|
VISUAL
wHash
|
009f818181ffe7e7 |
|
VISUAL
colorHash
|
060000081c0 |
|
VISUAL
cropResistant
|
0000000000000000,3023272733200e0f,00100cb2b20c2000,1393737c4c3c7c78 |
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.