Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166C3EA359086E83B41A7C9C1A5716B2F36FA930EDA034B8763FC03EE5BDAD54DD22911 |
|
CONTENT
ssdeep
|
1536:jkUMIIuIQ4WwWjcWblWRFe3vAQGBlWzWzWzWA/JMNaPe2w:QUhIIw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8369834f837c933d |
|
VISUAL
aHash
|
712107072325073f |
|
VISUAL
dHash
|
c3c3fcfdebedeede |
|
VISUAL
wHash
|
712107073b07377f |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
008080000000000a,2d32b2a685a42dad,6a6a9a925aa2a26e,a69e9e5adab2b4c8,c3c3fcfdebedeede |
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 879 techniques to evade detection by security scanners and make reverse engineering more difficult.