Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7F1953424A8102F132B87C97AB2FF0AA083F74AC646D6D0D6F953D82FD6CB1E985435 |
|
CONTENT
ssdeep
|
96:vTvTDFTG3ojZtSrlklWFi3zNWQAv6vnhPw2R8Yt4LkP8rXJxtwQqNvnHkclFIOg9:vTvThT1lWFi3DR+5xtYvnEmFIOg9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a40767329d9866af |
|
VISUAL
aHash
|
0707371f0f070717 |
|
VISUAL
dHash
|
3fcfe7b6beadbf77 |
|
VISUAL
wHash
|
0727371f0f070f17 |
|
VISUAL
colorHash
|
02000007000 |
|
VISUAL
cropResistant
|
7d8dcf6e7c5d7ded,1dbcb43470f0f0f1,61b0b0abbafb7979,8c2c2a72f33210a9,c89a5cdc882c2cf4,96e9fccecf6d452e,65c9882607250f13,66763709c3074fc7,00146830322a0401 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.