Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF34A778F201601A557353F2B082DB2DA16AC6F8DF53CD99B36CD1536799CA4CB632E0 |
|
CONTENT
ssdeep
|
1536:KXmxY9K5NMgTtkARr6UflUuRNka2wblHbJLwLIz9GguGOjjRnY:KGLMgT1RrJrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
956e3913c4273b6c |
|
VISUAL
aHash
|
00080076766e7e7e |
|
VISUAL
dHash
|
32b279e6a4d8dab2 |
|
VISUAL
wHash
|
001800767e7e7e7f |
|
VISUAL
colorHash
|
38201008040 |
|
VISUAL
cropResistant
|
bc629330d8b0385a,6c74723a1cb496f6,993c6834a4ac0c1c,151c7070e8b2f4ec,a8970f0f5f95bbb2,ccae6d4e9a881ace,d4e6dadacd894d86,a6e698eb69080a4a,32b279e6a4d8dab2 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.