Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D762C93AEA406233879351D0FBFE33AAB3248184D7114A6776F8531D67E5D5E8BB12E0 |
|
CONTENT
ssdeep
|
384:sd3r44FT1EaUv4dE5IPt3UPEy5Qcfh7L2zQ:sdb44d1EfriPt3UPUYxEQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34fbcb72110b23b |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
7170f0d4ca0f9696 |
|
VISUAL
wHash
|
00001000efffffff |
|
VISUAL
colorHash
|
0b202000000 |
|
VISUAL
cropResistant
|
cc5289aae39bd2d8,4d4c969e969e9696,717170f0f1d4cc0b |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.