Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175532FB28562A97745A7F1D2B372172A73D69249CE82439283F8C39D4FDED90FC63640 |
|
CONTENT
ssdeep
|
1536:KRLeeefeeepeee1eeeIeeefeeeEeee1eee2SQCc:JSQn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f00fb645a8d48f6c |
|
VISUAL
aHash
|
00000078407ee6e7 |
|
VISUAL
dHash
|
a49461b29296949c |
|
VISUAL
wHash
|
0600187b517efee7 |
|
VISUAL
colorHash
|
30401008400 |
|
VISUAL
cropResistant
|
f8fcfcfdcdcefcf8,f276747262acf8f8,1cdcbcd69c3cebc3,a49461b29296949c |
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 163 techniques to evade detection by security scanners and make reverse engineering more difficult.