Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DF3B57021412A2F21078688766577EAA19BB348CB0BC19493FE5367EFC6DE25C277DC |
|
CONTENT
ssdeep
|
3072:nMf1fjOeAHOeKNXEPBYHo9BG9BdTF9BF9BJ9Bk9BZ09BR9BeqIunjF+Tgdx:n1+TX5Lv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c041414135b7bfbf |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
c6c41ac00000002c |
|
VISUAL
wHash
|
00000000cfcfc38d |
|
VISUAL
colorHash
|
0e030000400 |
|
VISUAL
cropResistant
|
8100025a3a320080,0000000000001034,dada819ee4e49cc4 |
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 108 techniques to evade detection by security scanners and make reverse engineering more difficult.