Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F173F9A83959F5271EB343A710EE14037378122B580D4D70B250FD9EB6B8C9AB16BFD9 |
|
CONTENT
ssdeep
|
768:/2zmuc2lGYn5mK+4x4eIP32yEZMLwypGCCdaMK6kyLw15l9xy+UOLmXzRVZ27Of:mLx4TESLwsGSMBDLw1j90+1Lmjzl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc669933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0008323232320c10 |
|
VISUAL
wHash
|
00003838fcfce0f0 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
0008323232320c10 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)