Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1A2953181516926453E9AC8BBABD350778303ABDD424F74E3FA161ACACDCB57391339 |
|
CONTENT
ssdeep
|
384:tkoyVHghEPnfDMA9OI7787tLvk7xIJGHK7ZdF0GbT6J:tkoiHgKPfDMA9OI7787tLvk7xIJ0K7ZI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d35d755d632288aa |
|
VISUAL
aHash
|
003effe7ffffe7e7 |
|
VISUAL
dHash
|
a8684d4949494d69 |
|
VISUAL
wHash
|
00bc3d253d3d2525 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
0100908185830000,28484d4949594d69,0040101010400000 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.