Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAA3CD274229352A4437C2D134BA6B3BD1A6D98FFAE709000EDCCBF66BF9C90745A15D |
|
CONTENT
ssdeep
|
768:BZyZtpR4nXF6YjOpSpFlTC6rrWWHTEtNH1ShDfK:BGtpR4nXBKpSpFl26vvHTELH1mDfK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d29d3136d2f |
|
VISUAL
aHash
|
00030e2e2e0f01ff |
|
VISUAL
dHash
|
d8b77cdcdcb97700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
bd377cdcdcbb7700,dcbf7cdcdc9cb377,d04b65c44d4c6d33,4c8f9141434e4a5a,ec114c3232080041 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)