Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129A23F3044426A331293A1D5B3B1574EF3E28386CB63270967F8C7ADAFDAD91CD16672 |
|
CONTENT
ssdeep
|
192:z36hi7ZgYq/ClN61hM2Ahsn2TgmsER8Gft:z36+ZNqG61022TgmsEDft |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a718e718b71ce71 |
|
VISUAL
aHash
|
200018180800003d |
|
VISUAL
dHash
|
d9323153928d3261 |
|
VISUAL
wHash
|
ec0399ff58c8183d |
|
VISUAL
colorHash
|
380000004c0 |
|
VISUAL
cropResistant
|
6664e8e96d6d6c2c,d9323153928d3261 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.