Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDB2963191051D3F936389C9E2626B4E62DE8348D7034ED4B7F897BE2FC6C94F856289 |
|
CONTENT
ssdeep
|
384:YgDab02cRUKma0WoII+BNE7JGkGMepoYxR4Ny5Rpqaub6ePxTP0dvZR4xu5bF4yZ:P/DoII2fv/ILOL5n7xuIIu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be1c476161335f19 |
|
VISUAL
aHash
|
009f9e83fffffff0 |
|
VISUAL
dHash
|
d427202e1655086e |
|
VISUAL
wHash
|
00909003ffffffa0 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
d427202e1655086e |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)