Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151A3ED234159792A4437C3C130AA5B3BE1A6998BFEF709410EECCBF62BF9C90745A51D |
|
CONTENT
ssdeep
|
768:5cb3M/etpR4nXF6YjOpSpFlTC6rrWJddip2a9ZMv/B3:5qTtpR4nXBKpSpFl26vGdip20ZMv/B3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92076d13930f7d2d |
|
VISUAL
aHash
|
001f033f7f0f01ef |
|
VISUAL
dHash
|
dcbf76dcdcbcf30f |
|
VISUAL
wHash
|
000f033f3f0f11ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fda77cdcdcbde70f,9cbd27fcdc9cb377,495857666e33533f,4e8f9141434e4a5a,cc110c32320c0121 |
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)