Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1331231F2E050DD3B079382C5B7B67B6F77A1C241CF420A5413F4836A5BCADA0CB22599 |
|
CONTENT
ssdeep
|
96:TkK7nbzDJ1tkz4t8v67MgdbtfFfNNtGvVFhqXcHFImXHX/J/xN2Q828PIzGAT431:QgnbzDJ1U4t8iIabpFFN8RXX5dF18F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bca07f00fe07479a |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
36963030b4d4c220 |
|
VISUAL
wHash
|
dfc3dfdfdf000000 |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
21969630340030b4,d4d4230000800020 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.