Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101A3CD234259392B4437C3C034AA5B3BE1A6999FFEE609414EDCC7F72AF9CA0741A15D |
|
CONTENT
ssdeep
|
768:UltpR4nXF6YjOpSpFlTC6rrWosJ9WHiLIsepdkS/:WtpR4nXBKpSpFl26vxGWHi8sepyS/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d29d3136d2d |
|
VISUAL
aHash
|
00030e2e2e0f01ff |
|
VISUAL
dHash
|
dcb77cdcdcbd7700 |
|
VISUAL
wHash
|
000f0f3f2f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
bd377cdcdcbd7700,dcbf7cdcdcfcb777,cb4949c5d95b1a9a,1e472113161c3434,ec114c3232080041 |
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)