Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C80366356441A2378373A3D6B6BA87BEF3C2424ED7021A0892FC831D5EC9DA5CD1A576 |
|
CONTENT
ssdeep
|
768:NB09eeefeeebeee3eeexeee8Jb9wyA5YRaIKUL6RTLs:v09eeefeeebeee3eeexeee8Jb9wyAQlV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e263b938f709d522 |
|
VISUAL
aHash
|
80002020a00079ff |
|
VISUAL
dHash
|
094945454d25d3c9 |
|
VISUAL
wHash
|
e0e0e0f0a190f9ff |
|
VISUAL
colorHash
|
01002000180 |
|
VISUAL
cropResistant
|
444e529199914581,9adbd3d99315e1e1,eccd568bc4aacac6,c680822c2c8280ce,c9e1d18a004e0a0b,09494d45454d21c3 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.