Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEA37A33411935274437C6D130A95B3BE2E6DA5FF9A70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:KkZ3ph5Lz4NP/y9svbliCd2qGHeFtiuCa28y2O9:rmA0Gt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d138b52bb643 |
|
VISUAL
aHash
|
00707000000000ff |
|
VISUAL
dHash
|
dcc1c3cbcc2cd3d0 |
|
VISUAL
wHash
|
40fff371340030ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080800130308080,dcc9c3cbc9cc2cd3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.