Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9C1742294588DA34B77DDE8E6ED3A197294C150C60B9E0493FC83DC8BDED92DA27352 |
|
CONTENT
ssdeep
|
96:TeF/7lKuvsMuB6s0+y6Jyw3GVPL9zlieLqY31w4HooFA5:iFPsK6JyLVPL9g1Y3y4IgA5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb545676d6676242 |
|
VISUAL
aHash
|
243c79f9fca818bd |
|
VISUAL
dHash
|
6cfad3f3f14b7a69 |
|
VISUAL
wHash
|
243c39f978a898bd |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
6cfad3f3f14b7a69,64353f090b0f2f1f,17273634128147ce |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)