Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182234B726732B47843DBA1DDF7392A56B2C2998EF8C74590B1C95ACD23C3C806193BB4 |
|
CONTENT
ssdeep
|
768:aA+EsZx8/G8D94kDawzMIBGowSMIBGkwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:aA+EsZ/8D2kDawzMIB7wSMIB9wZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea7a947bc1949cc1 |
|
VISUAL
aHash
|
818181818181ffff |
|
VISUAL
dHash
|
0d01654d4d054d00 |
|
VISUAL
wHash
|
c7818181a181ffff |
|
VISUAL
colorHash
|
320f0000000 |
|
VISUAL
cropResistant
|
0d01654d4d054d00,a09240331380b2e0,8400e4e48c8c1ce4 |
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.