Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164235B72A332B87843DBA2DEF7382945B2D6589EE8C74554F5C55ACD23C3C806293BB4 |
|
CONTENT
ssdeep
|
768:aC+EsZx8/G8oO2DVS6M7BcSWM7BWUuix+y9dQpUDF1E56ITmHx3naOhqePqDvrAH:aC+EsZ/8oFDVS6M7BcSWM7BWUxx+y9dt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb3ac590f3c1906d |
|
VISUAL
aHash
|
fd81818181fffbfb |
|
VISUAL
dHash
|
5941654149754343 |
|
VISUAL
wHash
|
fd81818181f9f1f9 |
|
VISUAL
colorHash
|
33000e00000 |
|
VISUAL
cropResistant
|
5941654149754343,a280c19d9dcc80a2,e536230323230121,9080a4808cb2a2a2,6f4f4d424a4a8a8b |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.