Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150F120E1D540EE3B435381D5A7B9AB4BB691C345CF070A4097F883AB9BCAC60CF16599 |
|
CONTENT
ssdeep
|
192:Q3nfzDJ1bcct8iIydYMfl3aFXfM7yfaqw:Q7NdX1TeMfl397aaqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec64939b6c656564 |
|
VISUAL
aHash
|
fffff3f3d3ffffff |
|
VISUAL
dHash
|
30122626a6062004 |
|
VISUAL
wHash
|
90c0c0c0c3c3ffff |
|
VISUAL
colorHash
|
07040082000 |
|
VISUAL
cropResistant
|
30122626a6062004,69e0c46198989834 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.