Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE34A63171120D31C01FB2C1A696971517A26316E7D62AF4A7FF62EA53E4CEC06AF78C |
|
CONTENT
ssdeep
|
3072:Q80GJ/I2i2Ap7E/gJOFUpxPqcRa3MsVyARGpiGZl:QRC/fA5xpxPqcN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ced0b3e6ca50e526 |
|
VISUAL
aHash
|
ffff0018300000ff |
|
VISUAL
dHash
|
01a5a6e0e1e6914b |
|
VISUAL
wHash
|
ffff003c3c0000ff |
|
VISUAL
colorHash
|
32e00000000 |
|
VISUAL
cropResistant
|
d5c5c40195950085,8549a55b5a4b6929,a4a4e0e9e5e68a85 |
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 754 techniques to evade detection by security scanners and make reverse engineering more difficult.