Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0A37933411935274437C6D530A55B3BE2E69A4FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:OVt/k/YLz4NP/y9svbliCdWC/3FtiuCa28y2O9:smA+/s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d13ab32bbc49 |
|
VISUAL
aHash
|
00707000000000ff |
|
VISUAL
dHash
|
dcc1c3cbcc2cd3d0 |
|
VISUAL
wHash
|
00fffb71240038ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080800130308080,dcc9c3cbc9cc2cd2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.