Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A77308A83959F5161AB383A710DF14037378122B580D4D707250FDAEB6BCC9AB16BFE9 |
|
CONTENT
ssdeep
|
1536:aexlUuRNka2wblHbJLwLIz9GguGOjjRnY:aOrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc8cdc26f68c09d9 |
|
VISUAL
aHash
|
ffff7e00000000ff |
|
VISUAL
dHash
|
b0b0b27004801052 |
|
VISUAL
wHash
|
ffffff00000000ff |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
b0b0b27004801052 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.