Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8E11FF0D440ED3B435385D9ABBA6B0B7691C349CF070A4593F883AB6FDACA0CB15599 |
|
CONTENT
ssdeep
|
96:TkvnfzD71tDlt8v67McdtGytSufjwvFae5XGHF2et/Xxdz/40Yfd2J:QvnfzD715lt8iIGtGy4hQzhzncdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ce6a21999a6 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
080c080808000000 |
|
VISUAL
wHash
|
ffe7e7e7e7000000 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
00080c08100c0c30,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)