Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19EA340B184595A7B909383C89774AF5FA3D1830ACAA707475AF8C7582FDFCD1EC06A09 |
|
CONTENT
ssdeep
|
3072:ik+el4xfoa1qxnjxCvjVDLvkxIYHYNyjt:fw1qxnZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d62b78878af30d70 |
|
VISUAL
aHash
|
0000007e7e7ee6fc |
|
VISUAL
dHash
|
cdcce4ccc4c48cb4 |
|
VISUAL
wHash
|
0000007e7e7efefe |
|
VISUAL
colorHash
|
33208010000 |
|
VISUAL
cropResistant
|
dbd8d8cb4bdad8db,c000803373508000,cfe3ebe3e7870770,cdcce4ccc4c48cb4,0d924345546363d2,41556563d2c32909 |
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 942 techniques to evade detection by security scanners and make reverse engineering more difficult.