Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174A3FE23425976264437C3C1346A5B3BE1A6999FFAE709005EECCBF62BF9CE0741A11D |
|
CONTENT
ssdeep
|
768:r5CoDytpR4nXF6YjOpSpFlTC6rrWSqyU19f3MJCInbCs0QJ+:rzytpR4nXBKpSpFl26vsLEJCInbCs0C+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d13930f6d2d |
|
VISUAL
aHash
|
001f032f6f0f01ef |
|
VISUAL
dHash
|
dcbf77dcdcbcf70f |
|
VISUAL
wHash
|
000f033f7f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fda77cd8dcbde70f,dcbd77dcdcbcbd77,4b4b8e4f13a4465e,1e272183869c1434,cc110c32320c0121 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)