Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C221C33E600CD2A8DA7968CF6C0A589415DC346FB314CCAB1A491BF7BC1DF0699939D |
|
CONTENT
ssdeep
|
192:DQ3JadJVvZkCdldnFMcnthWeNWbSsVfMmUU8VCocG:TJFZNXn1sVfMmUFCoh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f323dd8876227788 |
|
VISUAL
aHash
|
e7efe7e7fffffffe |
|
VISUAL
dHash
|
08080c4d000c0000 |
|
VISUAL
wHash
|
07070707071f3d3c |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
08080c4d000c0000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)