Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE0241E1D0649C360B1286D9B7F57B6B7772C388CF02095422F4536AABCEDA1C721899 |
|
CONTENT
ssdeep
|
96:TkXdfsetUOZOpenzH0L9jxSTPKiEdt7Jd9iFwqXUHF1u3X1IX/vOSTu1ChGAT43a:QXxRth4YnzH0LWWiEdrP/1XL61I8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc6c0103b1f3c |
|
VISUAL
aHash
|
ff8f8f0f0fffffff |
|
VISUAL
dHash
|
da3a3e1a9a7878d8 |
|
VISUAL
wHash
|
0f07070f0f0f0f3f |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
da3a3e1a9a7878d8,8d8d959584c7c743 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.