Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169235C726332B87843DB61DDF7382A46B2D2998EE9C74594F5C9568D23C3C802593BF8 |
|
CONTENT
ssdeep
|
768:aa+EsZx8/G89Ej4FDawqMDBBwsMDB/wZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:aa+EsZ/89EMFDawqMDBBwsMDB/wZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a92ccc6b192e5e5 |
|
VISUAL
aHash
|
ff3c180c003c3c00 |
|
VISUAL
dHash
|
6968706938616970 |
|
VISUAL
wHash
|
ff3c3c3c003c3c3c |
|
VISUAL
colorHash
|
380060000c0 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,a203450cb4b4538a,6969706938696970 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)