Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132D29471B114263F1257C3C9B752E35BA6E3924DD789094693FCC3AD0BE7E50EA2312A |
|
CONTENT
ssdeep
|
768:1ISzy5NN2KBmwvoKWCJ1rrbtKeew17sOy2+y9BH4cLIe:1zKBDXxbtKpK7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c341f53a963c99e1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3c8cde99b00 |
|
VISUAL
wHash
|
60f370300405ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c2c3c2cccde91b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)