Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10953747292417A2F108382D18728A35EB3C1DA4DEBD14953EFECC32E7AC7DA0DD26565 |
|
CONTENT
ssdeep
|
1536:qsh0fq+NEIjss26UQ68c6Qy6h/6muxPxm/r8ddfLmc3iwb:ASmnjD26UQ68c6Qy6h/6mLab |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ec3e369c292e1 |
|
VISUAL
aHash
|
ff1e1e9b8b8fdf8f |
|
VISUAL
dHash
|
69343433333a3932 |
|
VISUAL
wHash
|
fd0c1e01818f9f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
69343433333a3932 |
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)