Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EED371D55618438CA047C97DEF2FFE05131FB5AABA588680298EC268D5CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:Y+0RQ7HWIYfKXDPuoUeFsR8MLqc11FsR8MLqcMv:L0RQ7H1ND6ZKm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2b266e666e63231 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0c140c0810001010 |
|
VISUAL
wHash
|
270303270f0f0000 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
0c0c140c00000000,0008103010100000 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.