Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E4235A28440542B111641CA7657EF8B3483E245CE7A0851A79543AB7FEF7E09CFF39B |
|
CONTENT
ssdeep
|
192:RSiS7oiwQcYIggT8Le69omlu3sIbyxKDW6gtz3pj0YQ2a:RSiS7oiwQ8o1wJe3pj/QB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5691a924f6d1a9a |
|
VISUAL
aHash
|
00c3c3c3ffe7ffff |
|
VISUAL
dHash
|
161696961e0d0c00 |
|
VISUAL
wHash
|
00000000c3c3e7ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
961696961e0d0c00,696169795f4ecc0e,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)