Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127A34DB43545B317057303E760CAA60772BC421FD80F4C60B3A4E9DA77ECC5AA667B99 |
|
CONTENT
ssdeep
|
1536:l+hPlUuRNka2wblHbJLwLIz9GguGOjjRnY:ErX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f89493cb91b6c2b8 |
|
VISUAL
aHash
|
ffffe7c381818100 |
|
VISUAL
dHash
|
4d14951633232b2b |
|
VISUAL
wHash
|
ffffe7c381818100 |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
4d9495963323232b,5515953633232b2b |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)