Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D235B726732B4B843DB91DEF7382A45B2D2988DF9C74554B1C55ACE23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ap+EsZx8/G80S48DawNM5BJwtM5B0wzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvla:ap+EsZ/80l8DawNM5BJwtM5B0weN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e61e1b694e3632cc |
|
VISUAL
aHash
|
00ffe7e7f3c3c3ff |
|
VISUAL
dHash
|
452b2f2d268e0e23 |
|
VISUAL
wHash
|
00d38387f3c3c3db |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
452b2f2d268e0e23,012696e6e6964601,8782908484f0b095,3156959c8c945631 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)