CWE-335
Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG)
The product uses a Pseudo-Random Number Generator (PRNG) but does not correctly manage seeds.
CVE-2016-3735 (GCVE-0-2016-3735)
Vulnerability from cvelistv5
Published
2022-01-28 00:00
Modified
2024-08-06 00:03
Severity ?
VLAI Severity ?
EPSS score ?
CWE
Summary
Piwigo is image gallery software written in PHP. When a criteria is not met on a host, piwigo defaults to usingmt_rand in order to generate password reset tokens. mt_rand output can be predicted after recovering the seed used to generate it. This low an unauthenticated attacker to take over an account providing they know an administrators email address in order to be able to request password reset.
References
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CVE-2018-14647 (GCVE-0-2018-14647)
Vulnerability from cvelistv5
Published
2018-09-25 00:00
Modified
2024-08-05 09:38
Severity ?
VLAI Severity ?
EPSS score ?
Summary
Python's elementtree C accelerator failed to initialise Expat's hash salt during initialization. This could make it easy to conduct denial of service attacks against Expat by constructing an XML document that would cause pathological hash collisions in Expat's internal data structures, consuming large amounts CPU and RAM. The vulnerability exists in Python versions 3.7.0, 3.6.0 through 3.6.6, 3.5.0 through 3.5.6, 3.4.0 through 3.4.9, 2.7.0 through 2.7.15.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| The Python Project | Python |
Version: 3.8, 3.7, 3.6, 3.5, 3.4, 2.7 |
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CVE-2020-7010 (GCVE-0-2020-7010)
Vulnerability from cvelistv5
Published
2020-06-03 17:55
Modified
2024-11-18 17:29
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-335 - Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG)
Summary
Elastic Cloud on Kubernetes (ECK) versions prior to 1.1.0 generate passwords using a weak random number generator. If an attacker is able to determine when the current Elastic Stack cluster was deployed they may be able to more easily brute force the Elasticsearch credentials generated by ECK.
References
| ► | URL | Tags | |||
|---|---|---|---|---|---|
|
|||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Elastic | Elastic Cloud on Kubernetes |
Version: before 1.1.0 |
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CVE-2021-34600 (GCVE-0-2021-34600)
Vulnerability from cvelistv5
Published
2022-01-20 11:40
Modified
2024-09-16 19:04
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-335 - Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG)
Summary
Telenot CompasX versions prior to 32.0 use a weak seed for random number generation leading to predictable AES keys used in the NFC tags used for local authorization of users. This may lead to total loss of trustworthiness of the installation.
References
| ► | URL | Tags |
|---|---|---|
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Telenot Electronic GmbH | CompasX |
Version: unspecified < 32.0 |
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CVE-2021-41117 (GCVE-0-2021-41117)
Vulnerability from cvelistv5
Published
2021-10-11 17:10
Modified
2024-08-04 02:59
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-335 - Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG)
Summary
keypair is a a RSA PEM key generator written in javascript. keypair implements a lot of cryptographic primitives on its own or by borrowing from other libraries where possible, including node-forge. An issue was discovered where this library was generating identical RSA keys used in SSH. This would mean that the library is generating identical P, Q (and thus N) values which, in practical terms, is impossible with RSA-2048 keys. Generating identical values, repeatedly, usually indicates an issue with poor random number generation, or, poor handling of CSPRNG output. Issue 1: Poor random number generation (`GHSL-2021-1012`). The library does not rely entirely on a platform provided CSPRNG, rather, it uses it's own counter-based CMAC approach. Where things go wrong is seeding the CMAC implementation with "true" random data in the function `defaultSeedFile`. In order to seed the AES-CMAC generator, the library will take two different approaches depending on the JavaScript execution environment. In a browser, the library will use [`window.crypto.getRandomValues()`](https://github.com/juliangruber/keypair/blob/87c62f255baa12c1ec4f98a91600f82af80be6db/index.js#L971). However, in a nodeJS execution environment, the `window` object is not defined, so it goes down a much less secure solution, also of which has a bug in it. It does look like the library tries to use node's CSPRNG when possible unfortunately, it looks like the `crypto` object is null because a variable was declared with the same name, and set to `null`. So the node CSPRNG path is never taken. However, when `window.crypto.getRandomValues()` is not available, a Lehmer LCG random number generator is used to seed the CMAC counter, and the LCG is seeded with `Math.random`. While this is poor and would likely qualify in a security bug in itself, it does not explain the extreme frequency in which duplicate keys occur. The main flaw: The output from the Lehmer LCG is encoded incorrectly. The specific [line][https://github.com/juliangruber/keypair/blob/87c62f255baa12c1ec4f98a91600f82af80be6db/index.js#L1008] with the flaw is: `b.putByte(String.fromCharCode(next & 0xFF))` The [definition](https://github.com/juliangruber/keypair/blob/87c62f255baa12c1ec4f98a91600f82af80be6db/index.js#L350-L352) of `putByte` is `util.ByteBuffer.prototype.putByte = function(b) {this.data += String.fromCharCode(b);};`. Simplified, this is `String.fromCharCode(String.fromCharCode(next & 0xFF))`. The double `String.fromCharCode` is almost certainly unintentional and the source of weak seeding. Unfortunately, this does not result in an error. Rather, it results most of the buffer containing zeros. Since we are masking with 0xFF, we can determine that 97% of the output from the LCG are converted to zeros. The only outputs that result in meaningful values are outputs 48 through 57, inclusive. The impact is that each byte in the RNG seed has a 97% chance of being 0 due to incorrect conversion. When it is not, the bytes are 0 through 9. In summary, there are three immediate concerns: 1. The library has an insecure random number fallback path. Ideally the library would require a strong CSPRNG instead of attempting to use a LCG and `Math.random`. 2. The library does not correctly use a strong random number generator when run in NodeJS, even though a strong CSPRNG is available. 3. The fallback path has an issue in the implementation where a majority of the seed data is going to effectively be zero. Due to the poor random number generation, keypair generates RSA keys that are relatively easy to guess. This could enable an attacker to decrypt confidential messages or gain authorized access to an account belonging to the victim.
References
| ► | URL | Tags | ||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| juliangruber | keypair |
Version: <= 1.0.3 |
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CVE-2022-39218 (GCVE-0-2022-39218)
Vulnerability from cvelistv5
Published
2022-09-20 19:50
Modified
2025-04-23 16:56
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-335 - Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG)
Summary
The JS Compute Runtime for Fastly's Compute@Edge platform provides the environment JavaScript is executed in when using the Compute@Edge JavaScript SDK. In versions prior to 0.5.3, the `Math.random` and `crypto.getRandomValues` methods fail to use sufficiently random values. The initial value to seed the PRNG (pseudorandom number generator) is baked-in to the final WebAssembly module, making the sequence of random values for that specific WebAssembly module predictable. An attacker can use the fixed seed to predict random numbers generated by these functions and bypass cryptographic security controls, for example to disclose sensitive data encrypted by functions that use these generators. The problem has been patched in version 0.5.3. No known workarounds exist.
References
| ► | URL | Tags |
|---|---|---|
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| fastly | js-compute-runtime |
Version: < 0.5.3 |
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CVE-2023-4472 (GCVE-0-2023-4472)
Vulnerability from cvelistv5
Published
2024-02-01 22:11
Modified
2025-06-11 16:45
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-335 - Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG)
Summary
Objectplanet Opinio version 7.22 and prior uses a cryptographically weak pseudo-random number generator (PRNG) coupled to a predictable seed, which could lead to an unauthenticated account takeover of any user on the application.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Objectplanet | Opinio |
Version: 7.22 |
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CVE-2024-1579 (GCVE-0-2024-1579)
Vulnerability from cvelistv5
Published
2024-04-29 13:27
Modified
2024-08-01 18:40
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-335 - Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG)
Summary
Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG) vulnerability in Secomea GateManager (Webserver modules) allows Session Hijacking.This issue affects GateManager: before 11.2.624071020.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Secomea | GateManager |
Version: 0 < 11.2.624071020 |
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CVE-2024-55566 (GCVE-0-2024-55566)
Vulnerability from cvelistv5
Published
2024-12-09 00:00
Modified
2025-04-04 14:30
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-335 - Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG)
Summary
ColPack 1.0.10 through 9a7293a has a predictable temporary file (located under /tmp with a name derived from an unseeded RNG). The impact can be overwriting files or making ColPack graphing unavailable to other users.
References
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CVE-2025-24783 (GCVE-0-2025-24783)
Vulnerability from cvelistv5
Published
2025-01-27 14:47
Modified
2025-01-28 15:19
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-335 - Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG)
Summary
** UNSUPPORTED WHEN ASSIGNED ** Incorrect Usage of Seeds in Pseudo-Random Number Generator (PRNG) vulnerability in Apache Cocoon.
This issue affects Apache Cocoon: all versions.
When a continuation is created, it gets a random identifier. Because the random number generator used to generate these identifiers was seeded with the startup time, it may not have been sufficiently unpredictable, and an attacker could use this to guess continuation ids and look up continuations they should not have had access to.
As a mitigation, you may enable the "session-bound-continuations" option to make sure continuations are not shared across sessions.
As this project is retired, we do not plan to release a version that fixes this issue. Users are recommended to find an alternative or restrict access to the instance to trusted users.
NOTE: This vulnerability only affects products that are no longer supported by the maintainer.
References
| ► | URL | Tags | |||
|---|---|---|---|---|---|
|
|||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| Apache Software Foundation | Apache Cocoon |
Version: 0 ≤ * |
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No mitigation information available for this CWE.
No CAPEC attack patterns related to this CWE.