Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EA3EE234259752B4837C3C0347A9B3BD1AA998FFAE70A004EDCC7F66AF9C90745A51D |
|
CONTENT
ssdeep
|
1536:T1TetpR4nXBKpSpFl26vO0qW80CHfstCU:MUMxrU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d13930f7d0d |
|
VISUAL
aHash
|
001f032e6e0f01e7 |
|
VISUAL
dHash
|
dcb77fdcdcbcf30f |
|
VISUAL
wHash
|
000f033f7f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fda77cdcdcb9f30f,dcbf67dcdcfcb377,5155b6656dd2564b,1e472103161c3424,cc11081212080121 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)