Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD519E61E155ACD700630FD0B767B69667C446498B2749A012F84B9FFAADCF8CC1E6D0 |
|
CONTENT
ssdeep
|
48:CtXuBhhgBwiDHycChDHAHfshoahDHCzkhDHRChDHAc3G2sDKP0+cSBKsV8:zeSSPPcme |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ded8a8295a525b66 |
|
VISUAL
aHash
|
cddff4fc80a38792 |
|
VISUAL
dHash
|
19352869175b6c64 |
|
VISUAL
wHash
|
8ddffcbc80818792 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
19352869175b6c64,656767773f2f5f5e,fe7e3f1f1f3f47a1 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.