Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198234A726722B8AC83DB91DEFB382D46B2D1588DF8C74454B5C99A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ad+EsZx8/G8vRF4hDawAM5B8waM5BvqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAU:ad+EsZ/8pOhDawAM5B8waM5BCN2/y9d0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfd4d0d0d0d1d1c5 |
|
VISUAL
aHash
|
ff81818181818181 |
|
VISUAL
dHash
|
7f6d7d7d6d7d7d7d |
|
VISUAL
wHash
|
ff8185818581bf8f |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
7f6d7d7d6d7d7d7d,efccdcececdfdcff |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.