Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14424117379163426103FC2DB606B173ED1D2DBCFFAA20A805AF8C3B91AF9C90B656155 |
|
CONTENT
ssdeep
|
1536:do0R4gMrZRTksPEGIhIEBa4Qjom6DA1OI9fztu9jLMLTLvPwzTjX68s7OGX7OG7T:Tmbjsa40JLJfJBJkZa2xsP9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7393dc638c3c534 |
|
VISUAL
aHash
|
2000606c74707000 |
|
VISUAL
dHash
|
ccc4c8d9c4e4c419 |
|
VISUAL
wHash
|
7e707c6c7c70700b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4ccceeb2c6f87f,8000806868800080,800080d0d0800080,800080c0c0800080,8080a88c8cb08082,ccc4c8d9c4e4c419 |
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 972 techniques to evade detection by security scanners and make reverse engineering more difficult.