Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6B319D8D72053FC584ECBAEFE3164647A1F60EABAC14998C29D5EA496D3CC4DC05CCA |
|
CONTENT
ssdeep
|
1536:XO+wesQ89hW43OCZrcgDPUcPNSSVYknQe8hSt6pQCawLyRZ2GiA94+yo:XteFcgDPUc6VWwCz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c15f3220dc5697e |
|
VISUAL
aHash
|
0004081a1effffff |
|
VISUAL
dHash
|
e828327232304501 |
|
VISUAL
wHash
|
0004081a1edfffff |
|
VISUAL
colorHash
|
0b400010000 |
|
VISUAL
cropResistant
|
84b2b2b2b2b2b2b2,fcfce6f0f478e0b9,39b939399b629004,38b06068d0c4a083,e828327232304501 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.