Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA235B726332B4B843DB92DEF7382E46B2D2998DF8C74554B5C95A8E13C3C816187BB4 |
|
CONTENT
ssdeep
|
768:aNJvz+EsZx8/G8FxRF46Daw9MIBsowlMIBskwZUcix+y9dQpUDF1E56ITmHDLBAJ:aNJvz+EsZ/8FzO6Daw9MIBtwlMIBDwZt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb99a4a4b1b1e4e4 |
|
VISUAL
aHash
|
8399818981818181 |
|
VISUAL
dHash
|
2b3171797131714d |
|
VISUAL
wHash
|
ffbd998d81998181 |
|
VISUAL
colorHash
|
310060000c0 |
|
VISUAL
cropResistant
|
2b3171797131714d,82432d9ceca40b02,6b687979213131c8 |
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.