Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F622A6330210D57BA67788DCB5A5230A72C3C14DC826A0D4F7EE8789CBEECD4D86EA15 |
|
CONTENT
ssdeep
|
192:K5STAzrz0q/IV0EIBTq9lH1/xCpPYqaJaWU:K4AhIVe48daJaWU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333595c66665c4c |
|
VISUAL
aHash
|
00ffffe7ffffffff |
|
VISUAL
dHash
|
1810144d0c100000 |
|
VISUAL
wHash
|
0003c3c3e0e0fcfc |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0000404040400000,1c100c4d30080000,4040404040800000 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)