Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F833D8107301B66E5C330F74B35A70AAD1DE9784FAD6692EB25C939174C213AC787CBA |
|
CONTENT
ssdeep
|
1536:km60wA3ins+rRhfo3E4tb3bSxq8Z7U1c/0UsBj:Ya |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1619a9a658e8f65 |
|
VISUAL
aHash
|
ffe3c3c3c3ffffff |
|
VISUAL
dHash
|
5196969686060044 |
|
VISUAL
wHash
|
00c30303c0fcfc9c |
|
VISUAL
colorHash
|
0e20a000040 |
|
VISUAL
cropResistant
|
5196969686060044,966970b20f869494 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.