Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6127439500C5977167389D8A3A5370AB3A1CB19DA430A45B6F8C35C2BCBEE7EC52359 |
|
CONTENT
ssdeep
|
96:HRtMPHbTFh7xIsMmq3QBnGnSv3YEGw8RI885jR5CEoi4+Jmq5NXm4DCZc+LXC8/M:HRtMvbBxxIrVO1vOOsWt0QSYula |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
827efe81097e23a3 |
|
VISUAL
aHash
|
010000007f7fffff |
|
VISUAL
dHash
|
c1880d90c0f00000 |
|
VISUAL
wHash
|
000081007f7fffff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
41d08088314d8c10,a0c0d0e080000000,0105054545454585,0000081010100000,5050105050904040 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)