Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEE2C83161007A3B42C3D3C9B352B72AA3F39289D64A055591FD83BE4BA7D64CE3761A |
|
CONTENT
ssdeep
|
768:NS5y5NNFgTN7fUY4uBDSSE26PWE33Wb7sOy2+y9BH4cLIe:r2r4uBfEWb7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d92c3 |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
19094b4bcd0c3300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,12094b4b4bcddc33 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.