Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C833BA03A5DB5671AB343D310DF1103B278563F980E4D20A254FDAE76ACC9B607BF99 |
|
CONTENT
ssdeep
|
1536:Xtdbz018W5/Nhh8z/dbFXRjaPndp7DdIM0:rbsJmz/pFdEBW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9273966c9469966d |
|
VISUAL
aHash
|
042c6c0e003c007e |
|
VISUAL
dHash
|
ccc8d8d8e4ecd0fc |
|
VISUAL
wHash
|
046e7e2e3c7e007e |
|
VISUAL
colorHash
|
39000200240 |
|
VISUAL
cropResistant
|
eccccede9c9c5ddc,ccc8d8d8e4ecd0fc |
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 523 techniques to evade detection by security scanners and make reverse engineering more difficult.