Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1234B726722B8A843DB91EEF7383D56B2D1588DF8CB4450B5C95A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:axmtU+EsZx8/G844iDawkMSBgwTMSB5wZqN2/y9dGDTDiJE56ITmH+LCBlvNPqD2:axmtU+EsZ/8riDawkMSBgwTMSB5w0N2a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6a6a9595946a3c |
|
VISUAL
aHash
|
810000ffffffffff |
|
VISUAL
dHash
|
0d71710d2a130000 |
|
VISUAL
wHash
|
00000081dbffffff |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
0d71710d2a130000,2301083270701008 |
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.