Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10563A938D351881B445BC2D87B60E7BF658B939ED94107A4EAB2877079DECFCE401B85 |
|
CONTENT
ssdeep
|
768:p5dF4Btfo4E7jP1ttzBa0EZhKP8uiImfKtCU3zZvFscfiv4EYIaJ:pb4ajt1a0EZhuRiImfKtCIpF/fc4KaJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc237632cd38374a |
|
VISUAL
aHash
|
00243cbdbd838010 |
|
VISUAL
dHash
|
a80c2033322a1d20 |
|
VISUAL
wHash
|
00e7ffbdb99b8080 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
8c4c32332a0e2d24,08301008088c8c08 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)