Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7C1761B9209B3290F4602A9BA5563AFA73A50CCF22E1AC934D7C13EB6E07954535FD1 |
|
CONTENT
ssdeep
|
96:Tjf0/DS267h3Xen+g3Z9SQBpYxLeB7APyA8EsLaa0IiN0ejEuU1qy6H2:nEDSPNenRZ9JBpWLeez8E3PTNd9TW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c53ac5943bc5d09e |
|
VISUAL
aHash
|
7c000000007e7a7e |
|
VISUAL
dHash
|
d8c0c0c0ccd4c2c2 |
|
VISUAL
wHash
|
7e0040607c7e7e7e |
|
VISUAL
colorHash
|
39000e00000 |
|
VISUAL
cropResistant
|
a280c1899ddcc0a2,753303232381a1a1,d8c0c0c0ccd4c2c2,6f4d4f4a4a8b8f8e |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)