Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBF1C67111600A7F658783A5F4627F26B09ED35ACE27B8ECF25CC1366BDAD24CD8A850 |
|
CONTENT
ssdeep
|
192:lS5AMAvA3AgAnAyZuX4RSBrOqdGKgvQ6Cv0xzrxbbX97eKIm/HFz1cWyceKNEQ:8KzoQHA8uX4RSBldXN6K0xvxbbXFTj9R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91b59e6a43b1b469 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
5a5adadadbdadbda |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
686c6c6967656768,50e0e0e0e0f0e0e0,71f0ccd8f4c4f071,932424969692358c,0b94d4c914aea203,160e323271e987ce |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.