Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F26333711142AA3F148382E58354D359E3C6E609C76B8ACF97E8931F27C7DE1ED7A128 |
|
CONTENT
ssdeep
|
768:xqCvH/3H/jdbYDjwjDrTXEQ/vbXrTnYcEH/3H/jdbYDjwjDrTXEQ/vbXrTnYcvPr:MCcPYUX6cSz01xWq0L0gZF0ExtSu8f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b4 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cc93ccd8cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc234c4c,8c83f393c0c8dcd4,4555457969610541,00454d7171554541,e232b21489cec6d6 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)