Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D235B726732B8A843DB91EEF7382D55B2D2489DF8C74414F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:au+EsZx8/G8y4IDawMMZBZwvMZBowZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAT:au+EsZ/8FIDawMMZBZwvMZBow0N2/y9C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ec1c6c6c3c131 |
|
VISUAL
aHash
|
bf83818187ffffff |
|
VISUAL
dHash
|
69371f2d2d000000 |
|
VISUAL
wHash
|
8180808085ffffff |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
69371f2d2d000000 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.