Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139D165D1C014DD37436289D9ABF57B1B76D1C319CB02098453F843EB5BDFCA0DA25AA9 |
|
CONTENT
ssdeep
|
96:Tkq1gzeFMSftVSTkhUSPRhtc0N/awvF/epX3HFUieFXpHFNe9XlX/o3GJ:Qq1gzejCGf2S/mJ2TGDXeA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da55a55a4aa5a9a9 |
|
VISUAL
aHash
|
fcfcfbfcfcdcffff |
|
VISUAL
dHash
|
2400021939390020 |
|
VISUAL
wHash
|
c0c0e0c0c0dcffff |
|
VISUAL
colorHash
|
07482000000 |
|
VISUAL
cropResistant
|
2400021939390020,48ef899f17878f9d,074f972ba3974d17 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)