Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153928532A628753642E381D69E329B69F3648210DA83121D97FDC36C27D7CE5EF36342 |
|
CONTENT
ssdeep
|
384:kWHbE+yQfg+fB0SrG8Cn8gr0ytIRhMeVf+2EqgFv:v7E+yQfg+fL7a0fhvlQFv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce61a723318f31ce |
|
VISUAL
aHash
|
60383c1818183c18 |
|
VISUAL
dHash
|
c461f0f0e0f06160 |
|
VISUAL
wHash
|
fe387c3c3c083c3c |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
00002010d4200000,c461f0f0e0f06160 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.