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lottie-android EUVDEUVD-2026-102129

| CVE-2026-95179 HIGH
Uncontrolled Recursion (CWE-674)
2026-10-15 mitre GHSA-qcq9-5r29-gg49
7.5
CVSS 3.1 · Vendor: mitre
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Deliver crafted Lottie animation JSON
  2. Exploit
    Parser builds cyclic precomposition reference graph
  3. Execution
    Trigger uncontrolled recursion in BaseLayer.forModel/CompositionLayer
  4. Impact
    Exhaust stack and crash host application (DoS)

Vulnerability Assessment

Weakness
CWE
ASVS 5.0
V15 - Secure Coding and Architecture Recursion depth limits
Exploitation Conditions

The host application must parse an attacker-controlled Lottie animation JSON containing a cyclic precomposition reference graph; the recursion occurs in BaseLayer.forModel and CompositionLayer during model/layer-tree construction. The decisive limiting factor is input trust: exploitation requires the app to load untrusted/remote animation files - applications that render only bundled, trusted animations are not exposed. No authentication (PR:N) and no explicit user interaction beyond rendering are required, but delivery of the malicious JSON to the parser is a hard prerequisite; impact is limited to crashing/hanging the application (availability only).

Impact

The input CVSS 3.1 vector (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H, score 7.5) describes a purely availability-impacting, unauthenticated, network-reachable denial of service with no confidentiality or integrity effect, consistent with the CWE-674 (uncontrolled recursion) root cause. No EPSS score, KEV listing, or explicit POC flag was supplied in the input, so there is no public-exploit or active-exploitation signal to corroborate the high base score; the only exploitation-relevant artifact is a third-party security advisory (FFG0d) and a remediation PR. A key caveat: lottie-android is a client-side rendering library embedded in applications, so the 'network' attack vector only holds when the host application loads attacker-controlled animation JSON - the CVSS AV:N therefore reflects a worst-case data-delivery assumption rather than a directly listening network service, which should be verified against actual deployment. Realistically this is a moderate-priority, impact-limited (crash/hang only) DoS bug rather than a top-tier emergency: high CVSS driven entirely by A:H, but no privilege escalation, no code execution, and no confirmed in-the-wild use. Note also that the supplied source-code evidence is a fix in Samsung's rlottie (a C++ sibling project), not in airbnb/lottie-android itself - cross-ecosystem fix, so the Java/Kotlin patch status should be confirmed independently.

Exploit ScenarioDerived

An application using lottie-android loads an animation JSON from an untrusted source (e.g., a remote URL, user upload, or ad/content payload). The attacker supplies a Lottie file whose precomposition layers reference each other cyclically, so BaseLayer.forModel / CompositionLayer recurse without bound and exhaust the stack, crashing or hanging the host app. No authentication or user interaction beyond rendering the malicious animation is required; no public exploit code was identified in the provided data, though a third-party security advisory exists.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
No patch listed yet 0.4% exploitation probability (EPSS)

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AnalysisAIv1 – Oct 15, 2026

Denial of service in lottie-android 6.7.1 and earlier allows remote attackers to crash or hang applications by supplying a crafted Lottie animation JSON that contains a cyclic precomposition reference graph, which triggers uncontrolled recursion during layer model construction in BaseLayer.forModel and CompositionLayer. The CVSS 3.1 vector (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H, score 7.5) confirms unauthenticated, network-reachable availability impact with no confidentiality or integrity effect. No CISA KEV entry or public exploit code has been identified at time of analysis, but exploitation requires the host application to parse untrusted or remote Lottie files; applications rendering only bundled, trusted animations are not exposed.

RemediationAI

No vendor-released patch for lottie-android has been identified at time of analysis; the only patch data available is a PR/commit in Samsung's rlottie (PR #603) that introduces a maximum model tree depth of 32 and discards deeper content, which serves as a reference mitigation. Users should monitor the Airbnb lottie-android repository for updated releases and apply the first patched version beyond 6.7.1 when available. As compensating controls, validate and sanitize Lottie JSON inputs, reject or truncate animations exceeding a safe recursion depth (e.g., implement a depth limit similar to rlottie's kMaxModelTreeDepth), and avoid parsing untrusted animations directly in the main application process; run parsing in an isolated process or with a timeout to contain crashes. Applications that render only bundled, trusted animations are not exposed. For the rlottie fix, see https://github.com/Samsung/rlottie/pull/603. For the third-party advisory, see https://github.com/FFG0d/security-advisories/blob/main/advisories/CVE-2026-95179.md.

Affected VersionsENISA

n/a n/a

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Technical ContextAI · show details

Lottie is a JSON-based animation format originally developed by Airbnb; lottie-android is the Android rendering library. The flaw resides in model construction, specifically in BaseLayer.forModel and CompositionLayer, where a cyclic precomposition reference graph causes unbounded recursion (CWE-674: uncontrolled recursion). This is a classic stack-exhaustion pattern: each precomposition reference re-enters model building without a depth guard, exhausting the call stack and crashing the process. The CPE string is not populated (n/a), and the ENISA EUVD entry (EUVD-2026-102129) lists affected versions as 'n/a n/a', so version specificity relies on the advisory text. A related fix in Samsung's rlottie C++ library (PR #603) adds a kMaxModelTreeDepth constant of 32 and a depth check in LottieParserImpl::parseGroupObject that discards deeper content with a warning, illustrating the recommended mitigation class for this vulnerability.

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Severity by source

Vendor (mitre) PRIMARY 7.5 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
vuln.today AI 7.5 HIGH

Crafted JSON can arrive over the network and needs no auth or interaction (AV:N/AC:L/PR:N/UI:N); impact is an application crash only, so C:N/I:N/A:H, scope unchanged.

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Primary rating from Vendor (mitre).

CVSS VectorVendor: mitre

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Lifecycle Timeline

3
CVSS changed
Oct 15, 2026 - 19:22 NVD
7.5 (HIGH)
CVE Published
Oct 15, 2026 - 00:00 cve.org
HIGH 7.5
CVE Published
Oct 15, 2026 - 00:00 cve.org
UNKNOWN (no severity yet)

DescriptionCVE.org

An issue in lottie-android 6.7.1 and earlier (and master) allows a remote attacker to cause a denial of service via a crafted Lottie animation JSON containing a cyclic precomposition reference graph that triggers uncontrolled recursion in BaseLayer.forModel and CompositionLayer.

Executive ViewAI

Why It Matters

A high-severity denial-of-service flaw in the Airbnb lottie-android library (versions 6.7.1 and earlier) allows a crafted animation file to crash or hang any mobile application that renders it, with no authentication or user interaction required beyond the app loading the file. Only teams whose apps parse untrusted or remotely supplied Lottie animations are exposed - apps using bundled, trusted animations are not at risk - but for those teams this translates to user-facing outages, negative app store ratings, and potential loss of transaction or engagement revenue. No vendor patch or public exploit code has been identified at time of analysis, so exposure currently must be managed through configuration and input-handling controls.

Business Impact: Medium
Compensating Controls

No vendor-released patch identified at time of analysis. Interim mitigations: restrict Lottie rendering to bundled/trusted animation assets and disable remote or user-supplied animation loading; enforce input validation, file-size limits, and precomposition-depth/complexity caps on animation JSON before parsing; execute parsing in an isolated process or thread with a watchdog timeout and graceful fallback so a hang or crash does not degrade the primary application; add crash/hang monitoring and alerting to detect attempted abuse; and prioritise remediation for apps whose core user journeys depend on untrusted Lottie content.

Threat Intelligence Overview

EPSS Score
0.4%
Top 65% exploitable
Prevalence
High
extremely popular Airbnb Android animation library embedded in many apps
Data Quality
6 sources
Confidence: High

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.4%
Patch available No
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision
Scheduled
Exploitation
None
System Exposure· derived
Open
Automatable
Yes
Human Impact
Medium
Technical Impact
Partial

Priority Score

38
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +38
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

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