Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111C173D1C408CD3747228AD9E7F96B1BB5D2C319CA05198483F843EB57CFC60CB26A99 |
|
CONTENT
ssdeep
|
96:TkoOm0zejSTBjGj5wvFdmse2KXTHF0eRXgHFz6eUkXit/X/JKST5J:QoOm0zeupGjw42EpaJNUX/XZb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c327185ef323b62 |
|
VISUAL
aHash
|
060e0f3f3f1f1f3f |
|
VISUAL
dHash
|
3c3c3d6f67f6f47b |
|
VISUAL
wHash
|
0604071f3f1f1f1f |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
f8f8f9d7cfccece7,02020082c06ca480,2f0f1f39b8fc6e3f,d1131e8d1f17ddf9 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)