Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195D2B731B1102B3F1257C3C9B762F76AA2E39249E745090953FC839D4BE7D90ED2366A |
|
CONTENT
ssdeep
|
768:vSzy5NISi9m9eUVTYFY6reQM7sOy2+y9BH4crIe:viIiY6KR7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363c53a961e3cac |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3c8cd0bc500 |
|
VISUAL
wHash
|
64f370340001ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
c400a00158d88000,c8c3c3e2cdcd0bc2 |
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.