Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A843C87293AC15BB19230FD46748375AB186828FC75717D8B1A9C29823EF9A075F27C3 |
|
CONTENT
ssdeep
|
1536:7l6GuW2QlfRZT5SB2hyrWWjzq4j3K/W23RiJ/RRXYrzd:7IGVVA3/id |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3cc369c36c863a |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3ff |
|
VISUAL
dHash
|
1b2f2f2f2f0f1333 |
|
VISUAL
wHash
|
818383c3c3c3c3ff |
|
VISUAL
colorHash
|
1e000018080 |
|
VISUAL
cropResistant
|
1b2f2f2f2f0f1333,2c645a579a8d67f3,5ab2e4c899871eb8,0355664666661745,0100052525410001,017972313132300d |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.