Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AA37933411935274437C6D430A55B3BD2A79A5FFAE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:aCP0Jiv1yLz4NP/y9svbliCdI+Nv9zou/FtiuCa28y2O9:6mAJoxk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfd3690699402 |
|
VISUAL
aHash
|
00000000040000ff |
|
VISUAL
dHash
|
1c49c3c3ccecd3da |
|
VISUAL
wHash
|
c0fd71300e007eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
d200c08018588090,1449cbc3c9cce4d2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)