Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC2222343006743A6237D6E0B8A16F1921279337DF09A538BBB50762ABCBDD55A373B4 |
|
CONTENT
ssdeep
|
192:DeUZbygSm2XOwJSb+5o0vErEF65LfrLf+Lf0McfYNqHTzhBeC3D:5jyOVEBF65LfrLf+Lf0rCgTzhBeC3D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88ff22af882323dd |
|
VISUAL
aHash
|
1998181818181819 |
|
VISUAL
dHash
|
333130b2b2303133 |
|
VISUAL
wHash
|
99999c1c3c3c3d39 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
0000000e0e000000,333130b2b2303133 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.