Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D234B726332B8B883DB92DDF7382E46F2D2589DE8C74550B5C95A8D23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a/+EsZx8/G8+b4vDawyvMLBgw/MLBeUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvM:a/+EsZ/8+0vDaw+MLBgw/MLBeUXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac0cbc3c33233 |
|
VISUAL
aHash
|
fd87879f8181ffbf |
|
VISUAL
dHash
|
493d3d2119357565 |
|
VISUAL
wHash
|
bd83878f81819797 |
|
VISUAL
colorHash
|
07030000000 |
|
VISUAL
cropResistant
|
493d3d2119357565 |
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.
Pages with identical visual appearance (based on perceptual hash)