Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162938371A450517B0563C2C89230AB5EB2C6E386CB23494197F4C3AAFFDBDA4DD87275 |
|
CONTENT
ssdeep
|
1536:JWk5Z/r32uBIGtasOg6M1rNABVo+vEx5gNmBKIBXjmoneQrubpQ:JFSuNAIH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb9c9561321e4b69 |
|
VISUAL
aHash
|
fffff9c9c1c1c1c1 |
|
VISUAL
dHash
|
542b33190b0b0b0b |
|
VISUAL
wHash
|
ffff8181c1c1c1c1 |
|
VISUAL
colorHash
|
17000038000 |
|
VISUAL
cropResistant
|
542b33190b0b0b0b,7376a3c5c686a641,0307a9a9c98d1787,0000000000000004 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.