Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0A3FD234259352B4437C3C1306A5B3BD1A69A8BFEE70A414EDCC7F72AFAC90745B519 |
|
CONTENT
ssdeep
|
768:iqOtpR4nXF6YjOpSpFlTC6rrWVm2iSdmlYFCP/FvMOW:utpR4nXBKpSpFl26vQdQY8Pt/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92076d13930f7d2d |
|
VISUAL
aHash
|
001f033f7f0f01ef |
|
VISUAL
dHash
|
9cbf77fcdc9cf30f |
|
VISUAL
wHash
|
000f013f3f0f07ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fda77cdcdcbde30f,dcbd67fcdc9cbb77,5969251b132c4d5d,4e8f9141434e4a5a,cc210c3232040121 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)