Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181A3DD23421925274437C2D1346A5B3BD1B6D99FFAE70A400EECCBFA6BF9CA0741B519 |
|
CONTENT
ssdeep
|
768:hsERpptpR4nXF6YjOpSpFlTC6rrWbs7FOOd7qlU9o8wXpG:hsEzptpR4nXBKpSpFl26vsiUCo8wXpG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9612ade970ede944 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
dccccccc8c9c462b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
0b003000c00 |
|
VISUAL
cropResistant
|
a24948d2524b8904,00004020a0a04000,000141a121510100,80004080a0400080,9a9616b250508436,8c0015562b2b2b2b,c3cccccccccccc8c |
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 125 techniques to evade detection by security scanners and make reverse engineering more difficult.