Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB427233A600DD2E4D9B51CCF2C49588516AD345FB3148CAB1A091FF7BC9DF029A63AD |
|
CONTENT
ssdeep
|
192:ozMcicCo6SHtKmxpgMcnthWeNWbSG1VTtNVfMmUU8VCoMoJ:1cicCo6SNDKG1VTtNVfMmUFCoMoJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333ccccfc20cccc |
|
VISUAL
aHash
|
c7474747efffffff |
|
VISUAL
dHash
|
9c9e9c9c9c000800 |
|
VISUAL
wHash
|
07070707073f3f3e |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
9c9e9c9c9c000800 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)