Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0147484F2D69C32311F81E2A4A467090192FBBBC7411FC767B146B1EBF58BD784E299 |
|
CONTENT
ssdeep
|
3072:IR4SI4uJDsza2gAroLV1Iredh23e6ETf1D+dMOWznvU7/jSeOC37VWBIr4c+2:I7osgT9K3Fcc+2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6700d7c7b796622 |
|
VISUAL
aHash
|
007fe7e7e7e7ffff |
|
VISUAL
dHash
|
00b48c4c4c0db0e8 |
|
VISUAL
wHash
|
0000e7e7e7e7073e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
8000c082a2800080,b08c4d4c4d0db0ec,4145808280c02120 |
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.