Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174234A726732B87843DB92EEB7382956B2D2489DF8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aw+EsZx8/G8u43Daw2MLBcowyMLBc2Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvM:aw+EsZ/8Z3Daw2MLB9wyMLBvUXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fd06261c1d232 |
|
VISUAL
aHash
|
9f0b0f83018dffff |
|
VISUAL
dHash
|
797b7d531f1d0051 |
|
VISUAL
wHash
|
9f030f010181ffff |
|
VISUAL
colorHash
|
06c00018000 |
|
VISUAL
cropResistant
|
797b7d531f1d0051,fef656925b9a1c99,73e3e1f9fcdeff3f,8ecaca3a59ca4a8e,faf1fdfdd3dbbebc |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)