Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7234B726332B8A843DB92EEF7382946B2D6589DE8C74414F5C95ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:abey+EsZx8/G8B4Q1DatcMRBpotDMRBpk7Ucix+y9dQpUDF1E56ITmHDLBABW8KB:abey+EsZ/8yQ1DatcMRBetDMRBW7UXxv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc1d09a98 |
|
VISUAL
aHash
|
ff8181a18181ffff |
|
VISUAL
dHash
|
6d4f6d4d67716900 |
|
VISUAL
wHash
|
ff8181818100ffff |
|
VISUAL
colorHash
|
07038008000 |
|
VISUAL
cropResistant
|
6d4f6d4d67716900,ce8e6c6cbebeb260,40c0d29bafc6dac0,ecf1f151754c8826,fffff7f5c6fcdfdf |
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.