Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F932AE1E280FD22057B51C1F0AAE285B7BA0516FB480F94B94CCAD5B3DA87B45F31B5 |
|
CONTENT
ssdeep
|
1536:0o408YgqeGW/42Rz1De1T0nDpxczQ2N0msQw:J4WVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c396425e4b1799d |
|
VISUAL
aHash
|
021c5c7c1c003efe |
|
VISUAL
dHash
|
863199d4309968a4 |
|
VISUAL
wHash
|
421c5c7e1c40befe |
|
VISUAL
colorHash
|
07200050001 |
|
VISUAL
cropResistant
|
b896ae6fa4d4cca3,f1ccce96c6ccccc6,f8cadbb333733e9e,863199d4309968a4 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.