Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B73385B212466B3F004382E1972CE62AD3D5D609CB634E87E7ECD33756CADE09E355A4 |
|
CONTENT
ssdeep
|
768:Zaq9EuqQEcaFM41LEnQ6fpWWkoou+l/2q9EuqQEcaFM41LEnQ6fpWWkoou+l/Er5:zcxr0pyeaWUr0vxTAa8j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f01892b8 |
|
VISUAL
aHash
|
fb939f9fdfffffff |
|
VISUAL
dHash
|
cb263531b1f11d4d |
|
VISUAL
wHash
|
00001c1cdcdcffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb263531b1f11d4d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)