Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144B2EDB6D110A86109539BF0F63E4FDB6D828B68D9D3554A90FD43882B87CF2FDE8214 |
|
CONTENT
ssdeep
|
192:UAEMP/nIX4vRlB4LDJCWPln6I76IKygnVOBEMm0MfGxRJoT0w8xvP:VwfCWPlxlKtVEEMm0MfGtw8RP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9364646571c3cf9a |
|
VISUAL
aHash
|
00007e7e7e7e7e7e |
|
VISUAL
dHash
|
9696795979797979 |
|
VISUAL
wHash
|
8080bcbcbcbcbcbc |
|
VISUAL
colorHash
|
07001030000 |
|
VISUAL
cropResistant
|
9696795979797979,0040202020004000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)