Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4E36BF0F615B57B603743F670AA1702B1696B2AE7874D10F368E69433F8C5368236E9 |
|
CONTENT
ssdeep
|
1536:8l04UZXAjVyINE1O2pEPOkBa9HHYeFZV3z2+BLuWDN043M2lUuRNka2wblHbJLwM:oRtzhGsarX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4445b5357535653 |
|
VISUAL
aHash
|
00d3d1007effefff |
|
VISUAL
dHash
|
e4372707d4c41b3b |
|
VISUAL
wHash
|
00d3c10020ffefff |
|
VISUAL
colorHash
|
07206008000 |
|
VISUAL
cropResistant
|
8000808282820080,37270507ecc41b23,23d4c0d41380a846,1191617535343531 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.