Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E235BB26722B4A843DB91EEF73C2D56B2D18889F8CB4554F5C95ACD13C3C812297BB4 |
|
CONTENT
ssdeep
|
768:ah+EsZx8/G8h4WDawBM5BAwkM5BZwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:ah+EsZ/8SWDawBM5BAwkM5BZw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3a6f6bb1949490 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
71713d1f59000000 |
|
VISUAL
wHash
|
000081818dffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
71713d1f59000000,b24cb2b232300420 |
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.