Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E04265A29400541B111641CA7657EF8B3483D2458F7A0851A79943AF7FEF6F0ACFF39A |
|
CONTENT
ssdeep
|
192:QS8StSiS7oiwQcYIggT8Le69omlu3sIbyxKDW6gtz3pj0Yo2a:QBWSiS7oiwQ8o1wJe3pj/oB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f16d47924f67181a |
|
VISUAL
aHash
|
00c3c3c3ffffe7ff |
|
VISUAL
dHash
|
161696961e0e4d00 |
|
VISUAL
wHash
|
00c3c3c3c3c3e7e7 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
961696961e0e4d00,696169795f4ecc0e,0000343430303410,32f0cc73f0ccc828 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)