Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C934AE06584FD3311F780A3709AD687B23A040FB51A49A0B65CC7CAB2E9C6751BF7B5 |
|
CONTENT
ssdeep
|
1536:NHXEeadsdgXfpRLD2hec+u/I5NGzQ2N0msQw:NHzS3p4Vw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c792b438b1e4e6c6 |
|
VISUAL
aHash
|
7e3c7c3c3c201070 |
|
VISUAL
dHash
|
d470e4e0d0c0f1e2 |
|
VISUAL
wHash
|
7e3c7c3c3c30307a |
|
VISUAL
colorHash
|
30600010000 |
|
VISUAL
cropResistant
|
d470e4e0d0c0f1e2 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.