Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124A3CB23422935274437C2C5347A5B3BD1A7C95FFAEB0A014EDC8BEA6BF9CA0745A11D |
|
CONTENT
ssdeep
|
768:kNh/HtpR4nXF6YjOpSpFlTC6rrZeDvJpAKGdPyz3r8X:kNh/HtpR4nXBKpSpFl26vZ2tGdPC3r8X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f43ec6c9013c6e5 |
|
VISUAL
aHash
|
00003c0c00009fff |
|
VISUAL
dHash
|
3065687878657a26 |
|
VISUAL
wHash
|
98303c3c1c10bfff |
|
VISUAL
colorHash
|
17c00000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,6c8012c8263726a6,20656c687864657a |
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.