Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEE2C4309009683F06A763C1BB75E35BA2C543CADA47472A82FD8B4D5FDAC90ED178A5 |
|
CONTENT
ssdeep
|
384:AP4/XkIIBDRPXIIIII9AlBHh9PIIbhy5Oh0xSC9ZYO8waDAzOpW:MIIB5IIIIIVqMOh0xSC9J1a8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3731c1c3963c6 |
|
VISUAL
aHash
|
00e3f7ff7f181810 |
|
VISUAL
dHash
|
cfcfcfd3e5f3f0e0 |
|
VISUAL
wHash
|
00e1ffff7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f363d3ca9d888c8c,0000606969680000,cfcfcfd3e5f3f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)