Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCC2031476055EA3CD73C6CD90516F0A71DAEB9ECA8BCC4016EC63DDAFC6CE0B8550AA |
|
CONTENT
ssdeep
|
384:+3bcVEdqBnMhWQIMwcZwwt7goWMXo7ynjnllpjI:GcVEdqBnMhWQIMwcZwwSoWM47ynbpjI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3f23c3c65e3321a |
|
VISUAL
aHash
|
807fffff60000000 |
|
VISUAL
dHash
|
63f8c8c4d0327171 |
|
VISUAL
wHash
|
80ffffff7000003c |
|
VISUAL
colorHash
|
18006000000 |
|
VISUAL
cropResistant
|
74e4f0a8a8ace030,80881c8281808080,3ae0c180c068b498,63f8c8c4d0327171 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)