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ATT&CK matrix

T1040

Network Sniffing

9 CVEs mapped
TA0006Credential AccessTA0007Discovery
Adversaries may passively sniff network traffic to capture information about an environment, including authentication material passed over the network. Network sniffing refers to using the network interface on a system to monitor or capture information sent over a wired or wireless connection. An adversary may place a network interface into promiscuous mode to passively access data in transit over the network, or use span ports to capture a larger amount of data. Data captured via this technique may include user credentials, especially those sent over an insecure, unencrypted protocol. Techniques for name service resolution poisoning, such as [Name Resolution Poisoning and SMB Relay](https://attack.mitre.org/techniques/T1557/001), can also be used to capture credentials to websites, proxies, and internal systems by redirecting traffic to an adversary. Network sniffing may reveal configuration details, such as running services, version numbers, and other network characteristics (e.g. IP addresses, hostnames, VLAN IDs) necessary for subsequent [Lateral Movement](https://attack.mitre.org/tactics/TA0008) and/or [Stealth](https://attack.mitre.org/tactics/TA0005) activities. Adversaries may likely also utilize network sniffing during [Adversary-in-the-Middle](https://attack.mitre.org/techniques/T1557) (AiTM) to passively gain additional knowledge about the environment. In cloud-based environments, adversaries may still be able to use traffic mirroring services to sniff network traffic from virtual machines. For example, AWS Traffic Mirroring, GCP Packet Mirroring, and Azure vTap allow users to define specified instances to collect traffic from and specified targets to send collected traffic to.(Citation: AWS Traffic Mirroring)(Citation: GCP Packet Mirroring)(Citation: Azure Virtual Network TAP) Often, much of this traffic will be in cleartext due to the use of TLS termination at the load balancer level to reduce the strain of encrypting and decrypting traffic.(Citation: Rhino Security Labs AWS VPC Traffic Mirroring)(Citation: SpecterOps AWS Traffic Mirroring) The adversary can then use exfiltration techniques such as Transfer Data to Cloud Account in order to access the sniffed traffic.(Citation: Rhino Security Labs AWS VPC Traffic Mirroring) On network devices, adversaries may perform network captures using [Network Device CLI](https://attack.mitre.org/techniques/T1059/008) commands such as `monitor capture`.(Citation: US-CERT-TA18-106A)(Citation: capture_embedded_packet_on_software)

Platforms5

IaaSLinuxmacOSNetwork DevicesWindows

CVEs mapped to this technique9

CVEDescriptionSeverityEPSSFlagsModified
CVE-2020-15094

In Symfony before versions 4.4.13 and 5.1.5, the CachingHttpClient class from the HttpClient Symfony component relies on the HttpCache class to handle requests. HttpCache uses internal headers like X-Body-Eval and X-Body-File to control the restoration of cached responses. The class was initially written with surrogate caching and ESI support in mind (all HTTP calls come from a trusted backend in that scenario). But when used by CachingHttpClient and if an attacker can control the response for a request being made by the CachingHttpClient, remote code execution is possible. This has been fixed in versions 4.4.13 and 5.1.5.

HIGH8.8
3.04%p86
2024-11-21
CVE-2019-1715

A vulnerability in the Deterministic Random Bit Generator (DRBG), also known as Pseudorandom Number Generator (PRNG), used in Cisco Adaptive Security Appliance (ASA) Software and Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to cause a cryptographic collision, enabling the attacker to discover the private key of an affected device. The vulnerability is due to insufficient entropy in the DRBG when generating cryptographic keys. An attacker could exploit this vulnerability by generating a large number of cryptographic keys on an affected device and looking for collisions with target devices. A successful exploit could allow the attacker to impersonate an affected target device or to decrypt traffic secured by an affected key that is sent to or from an affected target device.

NONE
1.71%p74
2024-11-21
CVE-2020-0884

A spoofing vulnerability exists in Microsoft Visual Studio as it includes a reply URL that is not secured by SSL, aka 'Microsoft Visual Studio Spoofing Vulnerability'.

LOW3.7
1.63%p73
2024-11-21
CVE-2020-15093

The tough library (Rust/crates.io) prior to version 0.7.1 does not properly verify the threshold of cryptographic signatures. It allows an attacker to duplicate a valid signature in order to circumvent TUF requiring a minimum threshold of unique signatures before the metadata is considered valid. A fix is available in version 0.7.1. CVE-2020-6174 is assigned to the same vulnerability in the TUF reference implementation.

HIGH8.6
1.36%p68
2024-11-21
CVE-2020-5261

Saml2 Authentication services for ASP.NET (NuGet package Sustainsys.Saml2) greater than 2.0.0, and less than version 2.5.0 has a faulty implementation of Token Replay Detection. Token Replay Detection is an important defence in depth measure for Single Sign On solutions. The 2.5.0 version is patched. Note that version 1.0.1 is not affected. It has a correct Token Replay Implementation and is safe to use. Saml2 Authentication services for ASP.NET (NuGet package Sustainsys.Saml2) greater than 2.0.0, and less than version 2.5.0 have a faulty implementation of Token Replay Detection. Token Replay Detection is an important defense measure for Single Sign On solutions. The 2.5.0 version is patched. Note that version 1.0.1 and prior versions are not affected. These versions have a correct Token Replay Implementation and are safe to use.

MEDIUM6.8
1.20%p64
2024-11-21
CVE-2018-7259

The FSX / P3Dv4 installer 2.0.1.231 for Flight Sim Labs A320-X sends a user's Google account credentials to http://installLog.flightsimlabs.com/LogHandler3.ashx if a pirated serial number has been entered, which allows remote attackers to obtain sensitive information, e.g., by sniffing the network for cleartext HTTP traffic. This behavior was removed in 2.0.1.232.

NONE
1.02%p59
2024-11-21
CVE-2020-11035

In GLPI after version 0.83.3 and before version 9.4.6, the CSRF tokens are generated using an insecure algorithm. The implementation uses rand and uniqid and MD5 which does not provide secure values. This is fixed in version 9.4.6.

CRITICAL9.3
0.78%p51
2024-11-21
CVE-2018-11749

When users are configured to use startTLS with RBAC LDAP, at login time, the user's credentials are sent via plaintext to the LDAP server. This affects Puppet Enterprise 2018.1.3, 2017.3.9, and 2016.4.14, and is fixed in Puppet Enterprise 2018.1.4, 2017.3.10, and 2016.4.15. It scored an 8.5 CVSS score.

NONE
0.76%p50
2024-11-21
CVE-2018-14781

Medtronic MiniMed MMT devices when paired with a remote controller and having the “easy bolus” and “remote bolus” options enabled (non-default), are vulnerable to a capture-replay attack. An attacker can capture the wireless transmissions between the remote controller and the pump and replay them to cause an insulin (bolus) delivery.

MEDIUM5.3
0.71%p49
2025-05-22