Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD146594B2D29C32311F81F2A4A467094092FBBBC7811FC767B146B5DBF58BD384E299 |
|
CONTENT
ssdeep
|
3072:IRISI46u0Uzl6XfaPY0HhrQmMMKjDrpghM+iJOWznwqrH7/jSeOC37VWBIr4c+X:IbNNWpCdBmnFcc+X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3710c6c737b6622 |
|
VISUAL
aHash
|
00ffe7e7e7e7ffff |
|
VISUAL
dHash
|
04b28c4d4d4da2ec |
|
VISUAL
wHash
|
0000e7e7e7e7073e |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
8000c082a2800080,b0cd4d4d4d4da0ec,4145808280c02120,37333333674e192a |
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 190 techniques to evade detection by security scanners and make reverse engineering more difficult.