Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A814D5EDAF304CC50DC982C6FA5291987F1BB07FAF6A4A64C048CBF5344686C9DE5E46 |
|
CONTENT
ssdeep
|
1536:iARr5TvPDA03ngBBlPa2e/V7lb09mOrFufUilHMP4Jbh5xj3D8okzTUdX6ZLhhDl:p5TnVsBjAIX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92f61b1ee4e0391b |
|
VISUAL
aHash
|
8604e6f6f606040c |
|
VISUAL
dHash
|
2d2c9484a41c8d19 |
|
VISUAL
wHash
|
8f06fef6f6060c0c |
|
VISUAL
colorHash
|
00000e00000 |
|
VISUAL
cropResistant
|
2d2c9484a41c8d19 |
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 524 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)