Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137323F23F600CC2A8D9B55DCF6C0AA49421EC345FB3148CA71A491BFBBC1DF1699979D |
|
CONTENT
ssdeep
|
192:ZrLpmYcMcPchl5xj2Riex+McnthWeNWbDLgvgGfMmUU8VCoBU:tcMcPchl5xjsPLgvgGfMmUFCoBU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33320cccecece31 |
|
VISUAL
aHash
|
e3c3c3ffffffffff |
|
VISUAL
dHash
|
4c5c4c280c100001 |
|
VISUAL
wHash
|
c0c0c0e020300303 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4c5c4c280c100001,a280a2a2a2a2a282,8282828282828282,a4a56a6a626e1372 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.