Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182235B726732B86843DB92DDF7382E56B2C2988DE8C74554F5C956CD23C3C816293BB4 |
|
CONTENT
ssdeep
|
768:aL+EsZx8/G8Ga4yDatPMiBHtDMiB1Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvt0:aL+EsZ/8GdyDatPMiBHtDMiB1UXx+y9t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3b91e466c0c167 |
|
VISUAL
aHash
|
fd81818181ffffff |
|
VISUAL
dHash
|
5d79713555150001 |
|
VISUAL
wHash
|
fd00010000ffffff |
|
VISUAL
colorHash
|
0fc08008000 |
|
VISUAL
cropResistant
|
5d79713555150001,636ac6d6e4bcd97b,8bc3703ee9f0b2aa,a2a2d64b3351a2a2,80a2ce231386aab0,0d1d1d1d1d1d9d80,b83cbbb07134d616 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.