Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E6342746846FD3FA1C78AD59172576AB2E24740CE238686BAF0C3F95BCAC5DCF22045 |
|
CONTENT
ssdeep
|
1536:SsIxGmpBdB2wn1FAF2v8BvhUv1Fvylv6jvl3oYG0rNhl6jJtk79F:SDBdYwnvAF2v8BvhUv1Fvylv6jvlO0rv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86f6394d5c143c67 |
|
VISUAL
aHash
|
02ffff2430342100 |
|
VISUAL
dHash
|
c4c9ccecc565cb23 |
|
VISUAL
wHash
|
02ffff2e703d2300 |
|
VISUAL
colorHash
|
0f200030000 |
|
VISUAL
cropResistant
|
cdcdcdecc8e565cb,88cbca480849884e,c4d064c7f63c8e37,d4d4efefc5cdc9ca,cdececc0e5d9eb23 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)