Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C3285E3D024D9360B1645D1F7767F6BB762C749CB03099067F4836AABCEDA1CA1248D |
|
CONTENT
ssdeep
|
192:Q74zTUsngk44bbb44bbpnzHo1AKU/dr7lyrA+lfzurgOrfcri78F:Q74zTUNk44bbb44bbpzIM/V7lCA+YgeK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b038cfcf237f3030 |
|
VISUAL
aHash
|
ffcf8783c7cfff7f |
|
VISUAL
dHash
|
423f3f0e9f9b02de |
|
VISUAL
wHash
|
ff83878383c1f903 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
423f3f0e9f9b02de,5a1933a72d293b2b |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)