Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1852349726332B87843DB92DEF7382D46B2D6589DB8CB4414F5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aA+EsZx8/G8b4gDaw5MLBGwvMLBewZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:aA+EsZ/80gDaw5MLBGwvMLBewZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6c91d3629c1a4b |
|
VISUAL
aHash
|
fff39393a1fdffff |
|
VISUAL
dHash
|
3947676767110001 |
|
VISUAL
wHash
|
bfa18181a000ffff |
|
VISUAL
colorHash
|
07c01000200 |
|
VISUAL
cropResistant
|
3947676767110001,5e4f9f91b1d1d9db,cfe2cc8b87666a6a,15a42f2b4b0e1d0d |
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.