Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186323033B600CD2A4D9B65CCF6C09A89415EC345FB3148CA71A091BF7BC4DF169AA39D |
|
CONTENT
ssdeep
|
192:Dx3J0Ycwctchp6DPxCm+V2xLQrXXMcnthWeNWbnfMmUU8VCozq:Tcwctchp6DPxC5iQrXIfMmUFCozq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0700f0fad0faaf0 |
|
VISUAL
aHash
|
00c0cecece0e040f |
|
VISUAL
dHash
|
609c9c9c9c9cf87d |
|
VISUAL
wHash
|
00c4cecece4e0ebf |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
6a60eaa2ea315afa,f9b9defefcfcf8f2,c3c3c3c3c3c7fef1,609c9c9c9c9cf87d |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.