Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E073AFE8E252877732671AB0A135DF4F78476358DFE598857BE8C8E88FE2C908E10475 |
|
CONTENT
ssdeep
|
1536:w0F6O1EcfpYFfN8TttohAzCWc3/pYFfN8TttohAzCWc3/F6O1EcfttohAzCWc3/P:w0F6O1EcfpYFfN8TttohAzCWc3/pYFfu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b04f0f4fb0f0f2 |
|
VISUAL
aHash
|
0707cf4f07070700 |
|
VISUAL
dHash
|
9ede9d9f9fbd5d9d |
|
VISUAL
wHash
|
0f0fcfcf0f0f0f00 |
|
VISUAL
colorHash
|
31402000000 |
|
VISUAL
cropResistant
|
9ede9d9f9fbd5d9d |
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 3899 techniques to evade detection by security scanners and make reverse engineering more difficult.