Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC4384BD5442B93FB143C7E6917263AEF3824641CE6BCA425AF083B99EC5ECDCE11149 |
|
CONTENT
ssdeep
|
1536:NBoMvftU96Tk9aSSnKcHfgpmLqh2H9huTaFy/mk46rFloFl0Alrlkld1FQweH+Oh:NLqP8RcoqF2v8BvhUv1Fvylv6jvl9N7Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86d6294f7c14346f |
|
VISUAL
aHash
|
00ffff24303f0100 |
|
VISUAL
dHash
|
e4cdecec65eacb97 |
|
VISUAL
wHash
|
02ffff2e303f0301 |
|
VISUAL
colorHash
|
0f200038000 |
|
VISUAL
cropResistant
|
e4e5c9cdedecacec,1cb45c98e8b8d9f9,11180e2e03c3f83e,c8c0c8cef1385e67,8bd4e4efe5cdc9ce,cdecece565eb9b97 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.