Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101227223B600CD2A8D9B56DCF2C09949421DC346FB3148CAB1A481FFBBC4DF169A979D |
|
CONTENT
ssdeep
|
192:Ch3J4dhUyth1x+QOxVmMcnthWeNWbnfMmUU8VCoHI:thNtIRxfMmUFCoHI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c3c7363cc3c3 |
|
VISUAL
aHash
|
8f8f8f87dfffffff |
|
VISUAL
dHash
|
3e3e3a3d36001000 |
|
VISUAL
wHash
|
0301000280fccdcc |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
3e3e3a3d36001000,0000092026d30000 |
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.