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CVE Record

CVE-2020-7733: Regular Expression Denial of Service (ReDoS)

The package ua-parser-js before 0.7.22 are vulnerable to Regular Expression Denial of Service (ReDoS) via the regex for Redmi Phones and Mi Pad Tablets UA.

HighCVSS 7.5Not KEV-listedUpdated
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Glexia's TakeAutomated analysishigh

Security readout for executives and security teams

Plain-English summary

CVE-2020-7733 can let a remote user slow or exhaust an application by sending problematic User-Agent data to software using vulnerable ua-parser-js. The business impact is availability loss, not data theft. It matters most where User-Agent parsing happens on internet-facing request paths.

Executive priority

Treat as a high-priority availability risk for public web services. Patch promptly, especially where User-Agent parsing sits in shared request middleware or high-traffic entry points.

Technical view

ua-parser-js before 0.7.22 has a Regular Expression Denial of Service issue in regex handling for Redmi Phones and Mi Pad Tablets User-Agent strings. The CVSS 3.1 score is 7.5: network reachable, low complexity, no privileges, no user interaction, availability impact only.

Likely exposure

Exposure is likely in web applications, APIs, analytics, logging, bot detection, or middleware that parse untrusted User-Agent headers using ua-parser-js before 0.7.22, including packaged Java WebJars variants referenced by Snyk.

Exploitation context

The provided sources do not show CISA KEV listing or active exploitation. The issue is remotely reachable when vulnerable parsing is applied to attacker-controlled User-Agent input, and successful abuse would consume processing resources rather than compromise confidentiality or integrity.

Researcher notes

Evidence identifies the vulnerable package, affected version range, CVSS vector, Snyk advisories, and upstream fix commit. Sources do not provide exploit payloads, confirmed exploitation, or a complete list of downstream products beyond WebJars references and Oracle CPU linkage.

Mitigation direction

  • Upgrade ua-parser-js to 0.7.22 or later where used directly.
  • Update affected Java WebJars packages according to Snyk or vendor guidance.
  • Prioritize internet-facing services that parse User-Agent strings on every request.
  • Check Oracle CPU guidance if using Oracle products that bundle affected components.
  • Apply rate limiting or request controls as defense-in-depth, not as a substitute for patching.

Validation and detection

  • Search manifests and lockfiles for ua-parser-js versions below 0.7.22.
  • Use SCA tooling to detect direct and transitive vulnerable dependencies.
  • Check Java dependencies for referenced WebJars npm or bower packages.
  • Identify runtime paths that parse untrusted User-Agent headers.
  • Confirm patched deployments no longer include vulnerable package versions.
Prepared
Confidence
high
Sources
7

Public sources used

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

Conservative CVE-to-ATT&CK context

These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.

ATT&CK lookup starting points

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CVE-2020-7733 mapping review

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Vulnerability profileCVE Program record
Severity
High
CVSS
7.5 (3.1)
Known Exploited
No
Published

Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Official CVE source material

CNA and ADP enrichment extracted from CVE v5

These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.

1CVSS vectors
0Timeline events
0ADP providers
6Source links

CVSS vector scores

1 official score

We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.

ScoreVersionSeverityVectorExploitImpactSource
7.5CVSS 3.1HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H3.93.6Primary CVE score

Vulnerability scoring details

Base CVSS 3.1 score

7.5High
CVSS 3.1 vector shape for CVE-2020-7733Attack VectorAttack ComplexityPrivileges RequiredUser InteractionScopeConfidentiality ImpactIntegrity ImpactAvailability Impact

Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Privileges Required
NoneLowHigh
User Interaction
NoneRequired
Scope
ChangedUnchanged
Confidentiality Impact
HighLowNone
Integrity Impact
HighLowNone
Availability Impact
HighLowNone

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
n/aua-parser-jsunspecifiedListed
Weakness

CWE details

No CWE listed

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.