Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E234B726332B8B843DB91DEF7382E56B2D2488DE9C74554F5C95A8D23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:an+EsZx8/G8O24ZDawMMcBawkMcBJw9r82+/9dtZkDieE565TmHEnkvdhfVPqDvQ:an+EsZ/8ORZDawMMcBawkMcBJwh82+/l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926ced5a9264ed83 |
|
VISUAL
aHash
|
fb0000040c00ffff |
|
VISUAL
dHash
|
2338868c8988ca00 |
|
VISUAL
wHash
|
ff0040466c00ffff |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
08000c0c0d000303,1fdfceaee6ced060,ca8a800000000000,2328828c8c8888ca |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)