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GHSA-qj6h-m7xc-r2v3 CVE-2016-5100

Froxlor guessable password reset token

Critical Packagist
Severity
9.8 / 10
Critical · CVSS 3.0
Exploit chance (EPSS)
1.92%
Chance of exploitation in the next 30 days. Higher than 79.84% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-330 Use of Insufficiently Random Values
Fix
0.9.35
Upgrade froxlor/froxlor to this version or later

Description

Froxlor before 0.9.35 uses the PHP rand function for random number generation, which makes it easier for remote attackers to guess the password reset token by predicting a value.

Affected versions

Packagist

PackageVulnerableFixed in
froxlor/froxlor
< 0.9.35
0.9.35

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

froxlor/froxlor Packagist → 0.9.35

composer
composer require froxlor/froxlor:^0.9.35

Severity breakdown

CVSS 3.0 9.8

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Weakness

CWE-330: Use of Insufficiently Random Values

The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers.

How to prevent it
  • Architecture and Design: Use a well-vetted algorithm that is currently considered to be strong by experts in the field, and select well-tested implementations with adequate length seeds. In general, if a pseudo-random number generator is not advertised as being cryptographically secure, then it is probably a statistical PRNG and should not be used in security-sensitive contexts. Pseudo-random number generators can produce predictable numbers if the generator is known and the seed can be guessed. A 256-bit seed is a good starting point for producing a "random enough" number.
  • Implementation: Consider a PRNG that re-seeds itself as needed from high quality pseudo-random output sources, such as hardware devices.
  • Architecture and Design, Requirements: Use products or modules that conform to FIPS 140-2 [REF-267] to avoid obvious entropy problems. Consult FIPS 140-2 Annex C ("Approved Random Number Generators").

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-7788-ghfq-c6mh
Froxlor: Credential and 2FA secret disclosure via Froxlor API endpoints
Critical Also affects froxlor/froxlor
GHSA-xpr4-8vp6-c87j
Froxlor has CSRF Vulnerability in AJAX Endpoint — Missing Cross-Site Request Forgery Protection
Medium Also affects froxlor/froxlor
GHSA-5rw4-4665-cvwf
Froxlor DomainZones.add allows DNS zone-file RR injection via record/type fields
Medium Also affects froxlor/froxlor
GHSA-w27m-rmmf-g5w4
Froxlor: Second-Order SQL Injection via `Admins.add` `ipaddress` Parameter Allows Full Database Exfiltration
High Also affects froxlor/froxlor
GHSA-43gm-9rr3-cx7g
Froxlor: Stored XSS in DNS TXT Record Content Allows Customer-to-Admin Account Takeover
High Also affects froxlor/froxlor
GHSA-q4rm-m6xh-5pv7
Froxlor customer can create MySQL databases on disallowed servers via Mysqls.add API
Medium Also affects froxlor/froxlor
GHSA-mr9h-45p9-fg8h
Froxlor: Authenticated customers can read other customers' allowed sender aliases
Medium Also affects froxlor/froxlor
GHSA-f9rx-7wf7-jr36
Froxlor's API Authentication bypasses 2FA Authentication
High Also affects froxlor/froxlor
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