Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160332BF47441F5265A3746EA50BF691633BB910F940E0820F268EFDE6AF0C56E067BC5 |
|
CONTENT
ssdeep
|
768:R2J3c/cITihrNP+Q4c7jMMI9Uf4zX//hy7BWk20++uQW6/R:1iXqc712//nQ3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d5857a6a6a83696a |
|
VISUAL
aHash
|
40ff7f7e00000000 |
|
VISUAL
dHash
|
9af8f8f820336c2c |
|
VISUAL
wHash
|
caffffff80808080 |
|
VISUAL
colorHash
|
32006200000 |
|
VISUAL
cropResistant
|
f8f8f8f8f8f8f8f8,9af8f8f820336c2c |
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 6187 techniques to evade detection by security scanners and make reverse engineering more difficult.