Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED0394B73218957FCB1B97C6A4A3BD9890D2710FC696D4B0D5EB17B35081FF14CA282A |
|
CONTENT
ssdeep
|
768:wgal3IFWcfE4Op/0IFcIwrP5+7cm5huWFUi4lT:wgapIFBc4OpsIFcIwz5+7cm5huWFUi4N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec3c92c3c13c3ce6 |
|
VISUAL
aHash
|
ff9f9193f191ffff |
|
VISUAL
dHash
|
0025373203332006 |
|
VISUAL
wHash
|
ff9f81839180fcc2 |
|
VISUAL
colorHash
|
07000018240 |
|
VISUAL
cropResistant
|
0025373203332006,b4d96a26932964d2,b55b2ea5522b65d2 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.