Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A224163A600DD2A8DDB56CCF2C09589412DC345FB3148C6B1A491FFBBC4EF0699979E |
|
CONTENT
ssdeep
|
192:rFh3JQdxW3G1vxxNMcnthWeNWbnfMmUU8VCoHT:CxW3ffMmUFCoz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb23d72c64827729 |
|
VISUAL
aHash
|
e7ffe7e78181ffff |
|
VISUAL
dHash
|
0f2b0f0c332b0002 |
|
VISUAL
wHash
|
c38183838181ffff |
|
VISUAL
colorHash
|
07201018000 |
|
VISUAL
cropResistant
|
0f2b0f0c332b0002,1024b2b2b20c3001,4100d4d405710005 |
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.