Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C234A726722B8B883DB91EEFB3C2D56B2D1588DF8C74450B5C95A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a1+EsZx8/G8tRF4CDawxMjBuwmMjBnwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvF:a1+EsZ/8fOCDawxMjBuwmMjBnwcN2/ye |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3ac0c0e07fc5d0 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
0d7971754d232b2b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
0d7971754d232b2b,a6be7979f9b3f3ef |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.