Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DA3CB23422935274437C2C534BA5F3BD1A6C95FFAE70A411EDC8BEA2AF9CA0745B11D |
|
CONTENT
ssdeep
|
1536:R8TatpR4nXBKpSpFl26vi35eyUV1Z8vUX:DUMh35vm1ZR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed6cb813cbe5 |
|
VISUAL
aHash
|
00002c0c0c007eff |
|
VISUAL
dHash
|
1f6c49797874d924 |
|
VISUAL
wHash
|
00043c3c3e18ffff |
|
VISUAL
colorHash
|
3a006000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,0000006060600040,000080c080a00080,cc2016c824341e96,176c6949797074d9 |
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.