Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C602E0E0C415EE3B436396D9A7B62B0B77D1C359CF02094493F883AB5BCAC90DA2659D |
|
CONTENT
ssdeep
|
96:Tkfk01DtSTBEWhUSPRr8v67TKkFFh2PQGhlm2XeCYrGhlcmXtCYrGhlziXCCYj/7:QfR1DcVB8izUPQGCCyG3CyGhCK0z7Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6a64ccd1999398b |
|
VISUAL
aHash
|
ffe7e7e7ffffff00 |
|
VISUAL
dHash
|
a24d4d4c08000000 |
|
VISUAL
wHash
|
ffc3c3c36500ff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
a24d4d4d4c200400,01a2a2a2a2a2a282,01a2a2a2a2a2a282,01a2a2a2a2a2a282,880bf4c4c4d4ccf0,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)