Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126124023A600DD2A4D9B96CCF2C49588411EC385FB3148CAB1A091FF7BD4DF169A979D |
|
CONTENT
ssdeep
|
192:B53JudfkA8Gm1x9McnthWeNWbOfVfMmUU8VCoRl:IfkA3mfVfMmUFCoRl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333e0cc0e1ff1e0 |
|
VISUAL
aHash
|
cf0fc707bfffffff |
|
VISUAL
dHash
|
9c5a5a7c68004000 |
|
VISUAL
wHash
|
44040404c4fcfdfc |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
9c5a5a7c68004000,0a95687049b6ea00,01100830320c1001 |
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.