Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FF10F306002387B923796D1B4A58F0EA1078335D7460D2CB7A55B66BBCECE59A71BB8 |
|
CONTENT
ssdeep
|
192:DetXDbfgSAHY9ZGb9VvErEFD5Lf1z5Lf1ToLf1AtLf1pfLf1eUMKNqyTzhBeC3D:GX1bGFFD5Lf1z5Lf1ToLf1AtLf1pfLfR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f1bfc17c1b609c81 |
|
VISUAL
aHash
|
ffffff000090e000 |
|
VISUAL
dHash
|
4108968c593181c1 |
|
VISUAL
wHash
|
ffffff000890f020 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
d6fef6eeeeeefebe,40249183c6e0f0f2,4108968c593181c1 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)