Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B96343B1607652F34A8FF2E07272636E3193E34BF78617E1A5ECC3581AA4E95EE53014 |
|
CONTENT
ssdeep
|
1536:4SIe1tgkwhnoT2OE0MIe1tgkw72V7nK+lt/f/7WlfzUkmaCk/M5CsqfXBvgP1R9Z:4C+NMu1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e6561323c9a61cf |
|
VISUAL
aHash
|
00283c1414143c3c |
|
VISUAL
dHash
|
d94865adad2d7961 |
|
VISUAL
wHash
|
243c3c14143c7e7e |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
d94865adad2d7961 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.