CWE-319
Cleartext Transmission of Sensitive Information
The product transmits sensitive or security-critical data in cleartext in a communication channel that can be sniffed by unauthorized actors.
CVE-2026-55568 (GCVE-0-2026-55568)
Vulnerability from cvelistv5 – Published: 2026-06-23 14:54 – Updated: 2026-06-23 15:44| URL | Tags |
|---|---|
| https://github.com/guzzle/guzzle/security/advisor… | x_refsource_CONFIRM |
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CVE-2026-6066 (GCVE-0-2026-6066)
Vulnerability from cvelistv5 – Published: 2026-04-20 15:26 – Updated: 2026-04-20 16:13- CWE-319 - Cleartext transmission of sensitive information
| Vendor | Product | Version | |
|---|---|---|---|
| ConnectWise | Automate |
Affected:
All versions prior to 2026.4
|
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CVE-2026-7610 (GCVE-0-2026-7610)
Vulnerability from cvelistv5 – Published: 2026-05-02 09:15 – Updated: 2026-05-04 13:42 Unsupported When Assigned| URL | Tags |
|---|---|
| https://vuldb.com/vuln/360567 | vdb-entry |
| https://vuldb.com/vuln/360567/cti | signaturepermissions-required |
| https://vuldb.com/submit/806217 | third-party-advisory |
| https://github.com/IOTRes/IOT_Firmware_Update/blo… | patch |
| Vendor | Product | Version | |
|---|---|---|---|
| TRENDnet | TEW-821DAP |
Affected:
1.12B01
cpe:2.3:o:trendnet:tew-821dap_firmware:*:*:*:*:*:*:*:* |
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CVE-2026-7666 (GCVE-0-2026-7666)
Vulnerability from cvelistv5 – Published: 2026-06-03 13:16 – Updated: 2026-06-03 15:43- CWE-319 - Cleartext Transmission of Sensitive Information
| URL | Tags |
|---|---|
| https://docs.djangoproject.com/en/dev/releases/se… | vendor-advisory |
| https://groups.google.com/g/django-announce | mailing-list |
| https://www.djangoproject.com/weblog/2026/jun/03/… | vendor-advisory |
| Vendor | Product | Version | |
|---|---|---|---|
| djangoproject | Django |
Affected:
6.0 , < 6.0.6
(python)
Unaffected: 6.0.6 (python) Affected: 5.2 , < 5.2.15 (python) Unaffected: 5.2.15 (python) |
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CVE-2026-9741 (GCVE-0-2026-9741)
Vulnerability from cvelistv5 – Published: 2026-06-09 21:56 – Updated: 2026-06-10 13:21- CWE-319 - Cleartext transmission of sensitive information
| Vendor | Product | Version | |
|---|---|---|---|
| MongoDB | MongoDB Server |
Affected:
8.3.0 , < 8.3.3
(custom)
Affected: 8.2.0 , < 8.2.10 (custom) Affected: 8.0.0 , < 8.0.24 (custom) Affected: 7.0.0 , < 7.0.35 (custom) |
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Mitigation
Phase: Architecture and Design
Description:
- Before transmitting, encrypt the data using reliable, confidentiality-protecting cryptographic protocols.
Mitigation
Phase: Implementation
Description:
- When using web applications with SSL, use SSL for the entire session from login to logout, not just for the initial login page.
Mitigation
Phase: Implementation
Description:
- When designing hardware platforms, ensure that approved encryption algorithms (such as those recommended by NIST) protect paths from security critical data to trusted user applications.
Mitigation
Phase: Testing
Description:
- Use tools and techniques that require manual (human) analysis, such as penetration testing, threat modeling, and interactive tools that allow the tester to record and modify an active session. These may be more effective than strictly automated techniques. This is especially the case with weaknesses that are related to design and business rules.
Mitigation
Phase: Operation
Description:
- Configure servers to use encrypted channels for communication, which may include SSL or other secure protocols.
CAPEC-102: Session Sidejacking
Session sidejacking takes advantage of an unencrypted communication channel between a victim and target system. The attacker sniffs traffic on a network looking for session tokens in unencrypted traffic. Once a session token is captured, the attacker performs malicious actions by using the stolen token with the targeted application to impersonate the victim. This attack is a specific method of session hijacking, which is exploiting a valid session token to gain unauthorized access to a target system or information. Other methods to perform a session hijacking are session fixation, cross-site scripting, or compromising a user or server machine and stealing the session token.
CAPEC-117: Interception
An adversary monitors data streams to or from the target for information gathering purposes. This attack may be undertaken to solely gather sensitive information or to support a further attack against the target. This attack pattern can involve sniffing network traffic as well as other types of data streams (e.g. radio). The adversary can attempt to initiate the establishment of a data stream or passively observe the communications as they unfold. In all variants of this attack, the adversary is not the intended recipient of the data stream. In contrast to other means of gathering information (e.g., targeting data leaks), the adversary must actively position themself so as to observe explicit data channels (e.g. network traffic) and read the content. However, this attack differs from a Adversary-In-the-Middle (CAPEC-94) attack, as the adversary does not alter the content of the communications nor forward data to the intended recipient.
CAPEC-383: Harvesting Information via API Event Monitoring
An adversary hosts an event within an application framework and then monitors the data exchanged during the course of the event for the purpose of harvesting any important data leaked during the transactions. One example could be harvesting lists of usernames or userIDs for the purpose of sending spam messages to those users. One example of this type of attack involves the adversary creating an event within the sub-application. Assume the adversary hosts a "virtual sale" of rare items. As other users enter the event, the attacker records via AiTM (CAPEC-94) proxy the user_ids and usernames of everyone who attends. The adversary would then be able to spam those users within the application using an automated script.
CAPEC-477: Signature Spoofing by Mixing Signed and Unsigned Content
An attacker exploits the underlying complexity of a data structure that allows for both signed and unsigned content, to cause unsigned data to be processed as though it were signed data.
CAPEC-65: Sniff Application Code
An adversary passively sniffs network communications and captures application code bound for an authorized client. Once obtained, they can use it as-is, or through reverse-engineering glean sensitive information or exploit the trust relationship between the client and server. Such code may belong to a dynamic update to the client, a patch being applied to a client component or any such interaction where the client is authorized to communicate with the server.