Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1820E71414AA127133759C8EC725B1E60E3DB2DCD230C869ABC97CFBFD1DA1AD1648A |
|
CONTENT
ssdeep
|
384:CmrgbpbEcMv0qi0YzruF85p6qlh8X7tl1s7f:7stbE67h8X7tla7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c31c3c63c3ccc739 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
4a367169494961a3 |
|
VISUAL
wHash
|
00003cfdbeffc5c1 |
|
VISUAL
colorHash
|
06600010000 |
|
VISUAL
cropResistant
|
74032a2a2c0e1815,4a367169494961a3,c8c4e78894d65cb6 |
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 1095 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)