Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D03EA8260C82E3D43AA138682506F55CBDD874CE79305A756EEC70E5FCDE92CAB1786 |
|
CONTENT
ssdeep
|
768:lhkG3PWAV3Sm1MXKD56iKcMgtw+AURb7PZIBeQLZGWiKT:ZPjVCzHXFUpZevLZGQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9a0ed9a59675912 |
|
VISUAL
aHash
|
ffff000008000000 |
|
VISUAL
dHash
|
9c16f0cc3971cc71 |
|
VISUAL
wHash
|
ffffff201c1c0010 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
0002699696690200,4088939c9c932800,10c0cc3171c6e071 |
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 936 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)