Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CED1D607C694092A4F3703A9EBEA77DEC366040C636A4DED68E5821E33D4106C3B6EE5 |
|
CONTENT
ssdeep
|
192:FHiIGPMa2gDAtsoYn3/OYElsi66tKGrNu3:2Ma2gDAtsoYn3LECkt3u3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c16bd4906bd1947e |
|
VISUAL
aHash
|
7c000000007e7e7e |
|
VISUAL
dHash
|
d8c0c0c0d0d0dcc4 |
|
VISUAL
wHash
|
7e0000607e7e7e7e |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
a280c1899dccc0a2,c03030d098383080,a2808ba3a3a7a781,d8c0c0c0d0d0dcc4 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)