Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122235BB26722B47843DB91EEFB382D56B2D6488DF8C74414F5C95A8E13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:at+EsZx8/G8U4QDawMGMvBywMMvBzwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvK/:at+EsZ/8PQDawDMvBywMMvBzw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3fc0c0c0c037 |
|
VISUAL
aHash
|
010001ffffffffff |
|
VISUAL
dHash
|
7f777f2037000000 |
|
VISUAL
wHash
|
0000009f81ffffff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
7f777f2037000000,fffff3f3fff9ffff |
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.