Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD1221307046387762379A91F8A14B0D2217C339D746196CB7A817B6BFCDCE85A72BB4 |
|
CONTENT
ssdeep
|
192:lpncbbRgSOlnERmgFTaSQOFTaRZEu3JMLiOvErEFt5LfJyLfkTLfWlLfljLfxAM1:PnE6lnERJaJoaPEu3uLZFt5LfJyLfkTA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333266666cccccc |
|
VISUAL
aHash
|
e7e7ffe7e7ffffff |
|
VISUAL
dHash
|
4d4d004d4d000c00 |
|
VISUAL
wHash
|
00002424e4fcfcfc |
|
VISUAL
colorHash
|
07000000606 |
|
VISUAL
cropResistant
|
4d4d004d4d000c00,212101617103630b,45008c30b2300155 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)