Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18933D6216848EF77916303A53705D40FF3E55189E3B24A95FDE9471BA3A98A8C433FAC |
|
CONTENT
ssdeep
|
768:+J+GeQm+4yOzOplz0RLzizM2c17e7Bnu2tMEySENy9zNG:lGe9+4yOzOplz0RLzizqaBttMEyB2I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8de9437ab5923549 |
|
VISUAL
aHash
|
fbf9fbff01003c3e |
|
VISUAL
dHash
|
d3d3f3fc32f0d4d4 |
|
VISUAL
wHash
|
79797b7f00003c3e |
|
VISUAL
colorHash
|
100004001c0 |
|
VISUAL
cropResistant
|
0002606161300800,d3d3f3fc32f0d4d4 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)