Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F235B726332B4B843DF91EEF7382E46B2D2999DE8C74594B5C95A8D13C3C9021937B4 |
|
CONTENT
ssdeep
|
768:ay+EsZx8/G8gLH4ADawZMSB9wOMSBwqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAf:ay+EsZ/8gLYADawZMSB9wOMSBxN2/y9E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfc270c2c631623f |
|
VISUAL
aHash
|
fc9f0387bffe8f03 |
|
VISUAL
dHash
|
cd31164e79c13656 |
|
VISUAL
wHash
|
fc0f03871f7c0f03 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
cd31164e79c13656,cee2b51434640a8e |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)