Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1229395B190B595B7468FF3E0B636672E7293C34BDA860BE2A2FC43581AD1ED1DD13409 |
|
CONTENT
ssdeep
|
1536:2hOOxMkvdqI1Mq6CKFbQd+rsu3xMkvdqI1Mq6CKl2ubr6CWmCSLSv9x31R3amFkm:5/+miq9mc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b646719389267cd |
|
VISUAL
aHash
|
00383c1c1c3c3c3c |
|
VISUAL
dHash
|
d96061b9b8797961 |
|
VISUAL
wHash
|
243c3c1c1c3c7e7e |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
d96061b9b8797961 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)