Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BB29662538CAD3F519382D6E770E79F71518281CA4B1340C6FA8378EACADE5DE265CC |
|
CONTENT
ssdeep
|
384:jjCnwtqodKrrRxh5KkOhxJEiaUR3dcKZBch/nGvHeA6p/:jjCnaqwU5KRv+6Bo/nGvHa/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b86c4f4b4b4b1c3c |
|
VISUAL
aHash
|
00ffd7efcfffffff |
|
VISUAL
dHash
|
3324240a1a321000 |
|
VISUAL
wHash
|
008387c381c3fffe |
|
VISUAL
colorHash
|
07001000007 |
|
VISUAL
cropResistant
|
23243e0a1a321000,0001000303030000 |
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 4 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)