Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE134A726732B86843DB91EEF7382D45B2D2989DF8C74414F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a6T4K+EsZx8/G8y4fDatrSMmBIBtrfMmBI/7Ucix+y9dQpUDF1E56ITmHDLBABWb:aO+EsZ/8FfDat2MmBYtDMmBU7UXx+y9T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2f2fd190632e90 |
|
VISUAL
aHash
|
81010081ffffffff |
|
VISUAL
dHash
|
71717171200f0f21 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
71717171200f0f21,cfb3b26971f3ef71 |
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.