Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FA1A52183924832851315C8B552BBA561E4837CD313292CBCBD8BCF96EFDE5D25739A |
|
CONTENT
ssdeep
|
96:kSYToJ9r1+A2TJOY3vmLr9qTwPrVQpeJ3iouLAmBNcs7whV4E6A3WU4Ny9/H8D:0YD+horOEJ3t69N1UhVd6kWU+y9/0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3a3cccc33333166 |
|
VISUAL
aHash
|
ffffc3c3e7ffffe7 |
|
VISUAL
dHash
|
204d4d4d4d32040c |
|
VISUAL
wHash
|
ffffe7c3e7000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
204d4d4d4d32040c,a280a280a280a200,088bf4f464f0f00e |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)