Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132E142B1E182A47B01A3E2C3CA756F2FF2E541BEFD53170252FC869D66EAD52DC12601 |
|
CONTENT
ssdeep
|
96:2eh0SinwGRPRDXyU+a1OGerPB4M8mzcVuJN/zNGNKFEVURYFCR8h:2eGSinwkmUGGkPhcVufzY4F+URYF88h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c39c699cc3b2e361 |
|
VISUAL
aHash
|
7e183c7e7c3c2060 |
|
VISUAL
dHash
|
d070ccd4d4f0c0ca |
|
VISUAL
wHash
|
7e183c7e7c3c7060 |
|
VISUAL
colorHash
|
38000000e80 |
|
VISUAL
cropResistant
|
d070ccd4d4f0c0ca |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.