Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8234A726322B8B843DB91EEF7382956B2D6489DF8C74414F1C95ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:amvgd+EsZx8/G834XDaw4MJBNwjMJBjwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:amvgd+EsZ/8IXDaw4MJBNwjMJBjwZUX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da602565a5939797 |
|
VISUAL
aHash
|
8181bdbdbdbdbdbd |
|
VISUAL
dHash
|
0101696969696969 |
|
VISUAL
wHash
|
8180bcbcbcbcbc1d |
|
VISUAL
colorHash
|
060000001d0 |
|
VISUAL
cropResistant
|
0101696969696969,c2dab2b2e2eae2b2,1060e8f8e8e8f8f8 |
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.