Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB327033B600DC2A8D9B52CCF2C09A89415DD346FB3148CAB1A491BF7BC4DF169987AD |
|
CONTENT
ssdeep
|
192:2Hu3Jsdw0ogZfaKYafnxECMcnthWeNWb1VfMmUU8VCoe:iw0ogZfe5rVfMmUFCoe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af6949486c6e7313 |
|
VISUAL
aHash
|
00ffa383f7ffffff |
|
VISUAL
dHash
|
13324b47450c0400 |
|
VISUAL
wHash
|
0083830187e7fffe |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
133a4b454d0c0400,8121212121212180 |
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.