Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF2519A463B8D2FCF406E3FCDB26B870362A38FA7A41C558C7A81D54D6510AD9C5ADC3 |
|
CONTENT
ssdeep
|
3072:KVor2x8jK6OsC2cfLp8NkrrwXfMhwOwtqdwuIMpK2EQbFArTaQUysE6wlCLP//Ff:wr6EqjtqNrwlCLh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9977cc33d988cc8c |
|
VISUAL
aHash
|
1800181800181918 |
|
VISUAL
dHash
|
b24db2ba4bb333b3 |
|
VISUAL
wHash
|
1c0438382d3d3d3d |
|
VISUAL
colorHash
|
07400008001 |
|
VISUAL
cropResistant
|
b24db2ba4bb333b3,1e9ea8c44cc8ec31,b1c5c787c685acb5 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.