Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D234A736332B87843DB91DEFB382D46B2D6589DB8C74414B5C99A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aG+EsZx8/G8g4xDawOMmB2wlMmB4Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA4:aG+EsZ/8DxDawOMmB2wlMmB4UXx+y9dM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc3828f5e1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e9e9cdc9d1000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
00000c0c0c0800bf,8000000000000000,fdf9e9c9cdcdc9d1 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)