Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFD1B71FE71852260B6203E0F8C1B2CDD30F45AC826247955AECE56C2BF35A55F7A7CA |
|
CONTENT
ssdeep
|
96:Ug7SATPk+X/dGlxstE8GXVGs0MA2J5vr5dUFZYt1W0FqZkSaPVjVCHrAmT:PmATPNXlmstE8gbpQZEVUkSCjVCHrAC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed2992366e6b092d |
|
VISUAL
aHash
|
01effbb1f3ffffff |
|
VISUAL
dHash
|
9b1893636796cbf8 |
|
VISUAL
wHash
|
01c7c381b3033f7f |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
9b1893636796cbf8,017686d6f4863601,468f1b255b370e9d |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)