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Security Vulnerabilities Related To CWE-335

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# CVE ID CWE ID # of Exploits Vulnerability Type(s) Publish Date Update Date Score Gained Access Level Access Complexity Authentication Conf. Integ. Avail.
1 CVE-2022-26852 335 2022-04-08 2022-04-14
7.5
None Remote Low Not required Partial Partial Partial
Dell PowerScale OneFS, versions 8.2.x-9.3.x, contain a predictable seed in pseudo-random number generator. A remote unauthenticated attacker could potentially exploit this vulnerability, leading to an account compromise.
2 CVE-2021-42810 335 Exec Code 2022-01-19 2022-01-25
7.2
None Local Low Not required Complete Complete Complete
A flaw in the previous versions of the product may allow an authenticated attacker the ability to execute code as a privileged user on a system where the agent is installed.
3 CVE-2021-41117 335 Exec Code 2021-10-11 2021-10-19
6.4
None Remote Low Not required Partial Partial None
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.
4 CVE-2021-32033 335 2021-06-16 2022-07-12
1.9
None Local Medium Not required Partial None None
Protectimus SLIM NFC 70 10.01 devices allow a Time Traveler attack in which attackers can predict TOTP passwords in certain situations. The time value used by the device can be set independently from the used seed value for generating time-based one-time passwords, without authentication. Thus, an attacker with short-time physical access to a device can set the internal real-time clock (RTC) to the future, generate one-time passwords, and reset the clock to the current time. This allows the generation of valid future time-based one-time passwords without having further access to the hardware token.
5 CVE-2021-27211 335 2021-02-15 2022-07-12
5.0
None Remote Low Not required Partial None None
steghide 0.5.1 relies on a certain 32-bit seed value, which makes it easier for attackers to detect hidden data.
6 CVE-2020-28597 335 2021-03-03 2022-04-28
5.0
None Remote Low Not required None Partial None
A predictable seed vulnerability exists in the password reset functionality of Epignosis EfrontPro 5.2.21. By predicting the seed it is possible to generate the correct password reset 1-time token. An attacker can visit the password reset supplying the password reset token to reset the password of an account of their choice.
7 CVE-2020-13784 335 2020-06-03 2021-12-13
5.0
None Remote Low Not required Partial None None
D-Link DIR-865L Ax 1.20B01 Beta devices have a predictable seed in a Pseudo-Random Number Generator.
8 CVE-2020-11616 335 2020-10-29 2021-07-21
5.0
None Remote Low Not required Partial None None
NVIDIA DGX servers, all BMC firmware versions prior to 3.38.30, contain a vulnerability in the AMI BMC firmware in which the Pseudo-Random Number Generator (PRNG) algorithm used in the JSOL package that implements the IPMI protocol is not cryptographically strong, which may lead to information disclosure.
9 CVE-2020-10256 335 2020-10-27 2021-07-21
5.0
None Remote Low Not required Partial None None
An issue was discovered in beta versions of the 1Password command-line tool prior to 0.5.5 and in beta versions of the 1Password SCIM bridge prior to 0.7.3. An insecure random number generator was used to generate various keys. An attacker with access to the user's encrypted data may be able to perform brute-force calculations of encryption keys and thus succeed at decryption.
10 CVE-2020-7010 335 2020-06-03 2020-06-05
5.0
None Remote Low Not required Partial None None
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.
11 CVE-2019-25061 335 2022-05-18 2022-05-26
5.0
None Remote Low Not required Partial None None
The random_password_generator (aka RandomPasswordGenerator) gem through 1.0.0 for Ruby uses Kernel#rand to generate passwords, which, due to its cyclic nature, can facilitate password prediction.
12 CVE-2019-11495 335 Exec Code 2019-09-10 2022-04-18
7.5
None Remote Low Not required Partial Partial Partial
In Couchbase Server 5.1.1, the cookie used for intra-node communication was not generated securely. Couchbase Server uses erlang:now() to seed the PRNG which results in a small search space for potential random seeds that could then be used to brute force the cookie and execute code against a remote system. This has been fixed in version 6.0.0.
13 CVE-2018-12520 335 2018-07-05 2019-10-03
6.8
None Remote Medium Not required Partial Partial Partial
An issue was discovered in ntopng 3.4 before 3.4.180617. The PRNG involved in the generation of session IDs is not seeded at program startup. This results in deterministic session IDs being allocated for active user sessions. An attacker with foreknowledge of the operating system and standard library in use by the host running the service and the username of the user whose session they're targeting can abuse the deterministic random number generation in order to hijack the user's session, thus escalating their access.
14 CVE-2018-12384 335 2019-04-29 2020-08-24
4.3
None Remote Medium Not required Partial None None
When handling a SSLv2-compatible ClientHello request, the server doesn't generate a new random value but sends an all-zero value instead. This results in full malleability of the ClientHello for SSLv2 used for TLS 1.2 in all versions prior to NSS 3.39. This does not impact TLS 1.3.
15 CVE-2018-1426 335 2018-03-22 2020-08-24
6.4
None Remote Low Not required Partial Partial None
IBM GSKit (IBM DB2 for Linux, UNIX and Windows 9.7, 10.1, 10.5, and 11.1) duplicates the PRNG state across fork() system calls when multiple ICC instances are loaded which could result in duplicate Session IDs and a risk of duplicate key material. IBM X-Force ID: 139071.
16 CVE-2017-11519 335 2017-07-21 2019-10-03
5.0
None Remote Low Not required None Partial None
passwd_recovery.lua on the TP-Link Archer C9(UN)_V2_160517 allows an attacker to reset the admin password by leveraging a predictable random number generator seed. This is fixed in C9(UN)_V2_170511.
17 CVE-2017-5214 335 2017-05-17 2019-10-03
5.0
None Remote Low Not required Partial None None
The Codextrous B2J Contact (aka b2j_contact) extension before 2.1.13 for Joomla! allows prediction of a uniqid value based on knowledge of a time value. This makes it easier to read arbitrary uploaded files.
18 CVE-2016-3735 335 2022-01-28 2022-02-02
6.8
None Remote Medium Not required Partial Partial Partial
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.
19 CVE-2012-1577 335 2019-12-10 2019-12-17
7.5
None Remote Low Not required Partial Partial Partial
lib/libc/stdlib/random.c in OpenBSD returns 0 when seeded with 0.
Total number of vulnerabilities : 19   Page : 1 (This Page)
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