Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149A3EE238119762B4433C3C030696B3BE5A6999FFEE70A405EECC7F62AF9C90745A15D |
|
CONTENT
ssdeep
|
768:LGLRutpR4nXF6YjOpSpFlTC6rrWfdlrV0g23NYWXDH2PPzqwY:DtpR4nXBKpSpFl26ver+/3NY6WPLqwY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d0313177f2d |
|
VISUAL
aHash
|
001f0f3e6f0f01c7 |
|
VISUAL
dHash
|
dcbf3cdcdcd8b30f |
|
VISUAL
wHash
|
000f0f3f7f0f01e7 |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb7fcdcdcb9f30f,dcbf3cdcdcdcbb77,c6d60c981b1c495a,48d9a9676168cac8,4e8f91c1a7a6ceca,68100c32320c21d4 |
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)