Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E150372D0296E2F01A77AC760757B4EE9E3C28CCA0385C85BF843DE5FDBE449926815 |
|
CONTENT
ssdeep
|
3072:rUecJucVoKwHh+s1APPjHIFvo1XspMug98nKd0+w1:rKhVoKwHh+s1APrHIFvo18hO8nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b04b1c4d67b0cf9c |
|
VISUAL
aHash
|
0000ffe7ffffffff |
|
VISUAL
dHash
|
32709c0e8e363626 |
|
VISUAL
wHash
|
000000c3ffffd7d7 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
32709c0e8e363626 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.