Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F90231E1D050ED37072681D5B7B67B2F76A1C245CF020E6463F893BE57CECA1CA22999 |
|
CONTENT
ssdeep
|
96:TkXMpzDxLSTBEWhUSPRr8v67GjSFtGoFderOX8Hl6Z6XI4/JvSYQJVjSZmST5+Ae:QXMpzDx2VB8iBtGLu4EpJqDP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b7b21f602fe01dc |
|
VISUAL
aHash
|
0018183c1f1fff3f |
|
VISUAL
dHash
|
49697169717030d2 |
|
VISUAL
wHash
|
0008381d1f1fff3f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
49697169717030d2 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)