Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1703341B121461A7FC58792C9AF74AB0DE1C7831BC6620D89F7F2C35A9F82D61FC59620 |
|
CONTENT
ssdeep
|
768:v8vpZ8ftZ8fwy5mFzLUGohQTtzHNFH6GcIjuIXQdy0OZ7viJBJBse+fZHzaDbcdf:v8YlzLOYHNFaGnjNXYy0jJ/m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfbc5e40d8416363 |
|
VISUAL
aHash
|
12ffffffff000000 |
|
VISUAL
dHash
|
34264e5667ccc444 |
|
VISUAL
wHash
|
02bfffffff000000 |
|
VISUAL
colorHash
|
1e600018000 |
|
VISUAL
cropResistant
|
36366e4e5e5776af,0b2414e4e4144262,172f6f3fbf7d3739,26ccc8c4c8e44448 |
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 95 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)