Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159D1A631821C163B468BCA80E4F3AB9A75D6C34FC3176DD4BFEC26276BC9DB14A84014 |
|
CONTENT
ssdeep
|
96:UMdtFMdj0HqtoI6BAZ6CIbOL/gABdJCEzc6qp7Ecc6qmWUhmpb79p/XKOr:UMJY0rBAyOL4srCEQdExNUhSPzxr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecab949b90744b55 |
|
VISUAL
aHash
|
fff3f0f0f0f0f2f2 |
|
VISUAL
dHash
|
2d03632723230424 |
|
VISUAL
wHash
|
fdf1b090b0f0f0f0 |
|
VISUAL
colorHash
|
06402000040 |
|
VISUAL
cropResistant
|
2d03632723230424,9b0d8dcd5d64487e,0b6363531527213d,715951e103cdec76,073b6f5d1f0f1f4e,02bf406061193969 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)