Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1922263F0D460EE37475381D5A77A7B6B36F1C258CF42095453F893AD2BCACA0CE219A9 |
|
CONTENT
ssdeep
|
96:TkfH0zYEnzSJ6qWhUSP1MbSgjO8v67YFpFrThFWTWXuUGNhFliXCU+/o5py+AT4F:QfH0zYEnyc6ZO8imrTA1fNTVEp88F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c909f6b277a17688 |
|
VISUAL
aHash
|
ff18181808ffff80 |
|
VISUAL
dHash
|
4af0f2b232140020 |
|
VISUAL
wHash
|
ff18181808ffff80 |
|
VISUAL
colorHash
|
16608008000 |
|
VISUAL
cropResistant
|
0000000101000049,a480a0a2a28e8ccc,9000000000000000,5af1f0f2f2b23210,0000002020202020 |
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.