Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143031E30A0417A3B019791D2B2319BAB73D6C285DE33064667F8C76D5FDBC50DCAA2A5 |
|
CONTENT
ssdeep
|
768:CmHr5Ys1p16aArNdyJ3smsDUweeeNeeeheee43RiNUcP:M5rryJ3speeeNeeeheee43RiNUcP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92666d91d26d995a |
|
VISUAL
aHash
|
0606446c6e4e0200 |
|
VISUAL
dHash
|
84b489cccc9c9669 |
|
VISUAL
wHash
|
7e46447e7e6e0e01 |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
696969e868b2e871,9e070f0e0a0e0f84,dc13471f0f0707c4,84b489cccc9c9669 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.