Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA240C6179736832206F31DF9117230EA2C3C7CADB526BF169F092689AB4C55BFE3194 |
|
CONTENT
ssdeep
|
3072:KJAOqQuTulinRQUIyHOF8Ayylzg2f0tT6:tQuTulinRQUIyuF8Ayy1g2KT6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6a9518378374f8 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
3a25874b2127800e |
|
VISUAL
wHash
|
8000f080c0ffffff |
|
VISUAL
colorHash
|
33200600080 |
|
VISUAL
cropResistant
|
254d4d4d4d4deef6,21d6de21890e464c,3a2525870f4b2327 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.