Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E762D854A5C6023F772217CCDB99AFBFA1A2D45DD3C7AD21A1AD02FF8E56F000687252 |
|
CONTENT
ssdeep
|
192:/coF2j6FOjH6OHL5CXySn+nhTnCn+nl9nD/xNuESvVCJQBQGmjPEf:OrE2J3Yf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b277364e1c4d1c65 |
|
VISUAL
aHash
|
00e7c3ffffffffff |
|
VISUAL
dHash
|
2a0c0e0000000030 |
|
VISUAL
wHash
|
00c3c3fb33333f00 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
2e0e0e0000000030,0000000000000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.