Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17832717145945A3707B28384ABA0FB1EE382C60ACD638646F3F6C74D9EC6E96CD12359 |
|
CONTENT
ssdeep
|
96:p+vhghqtbuqubyYYM6PDSeHmTes0ea5HgJtaivh0PIY0Q4gmODG5sRhvrx9g1+zp:cZghqtbuyVRPzZu4iGPIsWAgK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e37e1e1e25a5a511 |
|
VISUAL
aHash
|
0000efe3ffffff00 |
|
VISUAL
dHash
|
2a298f0e0b181212 |
|
VISUAL
wHash
|
0000e7e3e7ffef00 |
|
VISUAL
colorHash
|
07600010040 |
|
VISUAL
cropResistant
|
29290e0f0a101212,9100000000000000 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)