Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A635CB9B480F51346F340D361BF5A07737D510F680D89A0E268DB9A72F48A9A0B7BD9 |
|
CONTENT
ssdeep
|
1536:06EiXmJ/PoV/R9CTyp9EOIG9zQ2N0msQw:066bAVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b1b6636c445bc6c |
|
VISUAL
aHash
|
040c1c7c1c0c00ff |
|
VISUAL
dHash
|
9859d1d9d918c0c0 |
|
VISUAL
wHash
|
0e0c3c7c3c0c3cff |
|
VISUAL
colorHash
|
31c00000000 |
|
VISUAL
cropResistant
|
d9912324969aced2,9060849e9e060080,1c34f6868686c6c4,802acac8ca324000,9859d9d9d118d8c5 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.