Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7E2B872A0406B3B41A396C6B291A75EA3E2874FD34A051253FDC36D0FE3E50DD2776A |
|
CONTENT
ssdeep
|
768:vQeTJOeKtsKuznoCtBEGeK5/6t7sOy2+y9BH4cLIe:fEe5/l+7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d341f81a9d6992cd |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98c8c4c8ec0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4c4c3204,0080800058988000,9888ccc8c8cc3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.