Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116831F22781E056FB147C3C292F4FAA7DD51C90ACE701F04DAA99FCEDA91F22B675118 |
|
CONTENT
ssdeep
|
768:YhldyKzxaI04VohQOiwYskUEu+Q3195ZRp1F1+VRzm5LhZ3u17:0dyKzxU4VoE17 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aed62e5586758255 |
|
VISUAL
aHash
|
feffffffffc18181 |
|
VISUAL
dHash
|
e422000060030303 |
|
VISUAL
wHash
|
3e00ffffbc808181 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
e422000060030303 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.