perf(model): one Joern invocation per query kind, not one per region

JVM startup dominated a scan: a call per region per family put a ten-line
file at 275s over three regions, and would have put a thousand regions at
roughly fifty hours. The queries themselves are milliseconds once the CPG
is loaded, so the cost was almost entirely process starts.

scan_repository() is now collect -> batch -> arbitrate. The three .sc
scripts accept a `requests` JSON map and answer all of them in one run,
keeping the single-request form so the committed measurements stay
reproducible byte-for-byte. Arbiters are untouched: each is handed a
CpgResult whose `run` returns its own prefetched rows.

The batcher builds parameters by calling request_params() extracted from
taint.py, dominance.py and config_value.py rather than reconstructing
them. A second copy that drifts from the arbiter's is the exact shape of
the five family-assumption bugs the predecessor spec spent a session
finding; there is now one definition per family and the batcher borrows
it.

Regions are also deduplicated by (path, function), collapsing the
nameless entry-point rows that were producing `model:injection:?:10`.

Measured on the same ten-line file: 275s -> 106s, three duplicate
findings -> one `model:injection:ping:10`, rung unchanged at
model_entailed. Gates byte-identical.

Server mode is recorded as task 2.3, deliberately sequenced after the
repository measurement: whether the remaining ~100s floor is worth a
process model, a weakened subprocess seam and a Scala-evaluating HTTP
endpoint depends on a build-time-to-query-time ratio only 2.2 produces.

Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
This commit is contained in:
Marius Ciepluch
2026-09-09 07:57:35 +02:00
co-authored by Claude Opus 5
parent e67f3ee2f0
commit c35426e186
13 changed files with 412 additions and 76 deletions
+20 -3
View File
@@ -7,11 +7,16 @@
// Parameters: cpgFile, settings, function (optional).
// Output: fenced JSON array of {setting, line, method, args, literalArgs}.
@main def exec(cpgFile: String, settings: String, function: String = "") = {
// BATCHED, like taint.sc. Single-request form kept for the committed measurements.
@main def exec(cpgFile: String, settings: String = "", function: String = "", requests: String = "") = {
importCpg(cpgFile)
def split(raw: String): List[String] = raw.split(",").map(_.trim).filter(_.nonEmpty).toList
val names = split(settings)
def rowsFor(settingsS: String, functionS: String): List[ujson.Obj] = {
val names = split(settingsS)
val function = functionS
def matches(name: String): Boolean = names.exists(n => name == n || name == n.split("\\.").last)
@@ -38,7 +43,19 @@
)
}
rows
}
println("---OUSAST-CPG-BEGIN---")
println(ujson.write(ujson.Arr(rows: _*)))
if (requests.nonEmpty) {
val parsed = ujson.read(requests).obj
val answers = parsed.map { case (id, req) =>
def field(name: String): String = req.obj.get(name).map(_.str).getOrElse("")
id -> ujson.Arr(rowsFor(field("settings"), field("function")): _*)
}
println(ujson.write(ujson.Obj.from(answers)))
} else {
println(ujson.write(ujson.Arr(rowsFor(settings, function): _*)))
}
println("---OUSAST-CPG-END---")
}
+29 -4
View File
@@ -22,13 +22,26 @@
//
// Output: a fenced JSON array of {operation, opLine, opMethod, dominatingGuards}.
@main def exec(cpgFile: String, operations: String, dischargers: String, function: String = "") = {
// BATCHED, like taint.sc: `requests` is {id: {operations, dischargers, function}} and the output is
// {id: [row, ...]}. One JVM start answers a whole scan. The single-request form is kept so the committed
// measurements remain reproducible against the same call shape.
@main def exec(
cpgFile: String,
operations: String = "",
dischargers: String = "",
function: String = "",
requests: String = ""
) = {
importCpg(cpgFile)
def split(raw: String): List[String] = raw.split(",").map(_.trim).filter(_.nonEmpty).toList
val opNames = split(operations)
val guardTokens = split(dischargers)
def rowsFor(operationsS: String, dischargersS: String, functionS: String): List[ujson.Obj] = {
val opNames = split(operationsS)
val guardTokens = split(dischargersS)
val function = functionS
// Word-boundary matching, never substring. A discharger token like `user` matched as a substring hits
// `users` inside "SELECT * FROM users WHERE id = ?", marking a textbook IDOR as guarded -- a silent false
@@ -69,7 +82,19 @@
)
}
rows
}
println("---OUSAST-CPG-BEGIN---")
println(ujson.write(ujson.Arr(rows: _*)))
if (requests.nonEmpty) {
val parsed = ujson.read(requests).obj
val answers = parsed.map { case (id, req) =>
def field(name: String): String = req.obj.get(name).map(_.str).getOrElse("")
id -> ujson.Arr(rowsFor(field("operations"), field("dischargers"), field("function")): _*)
}
println(ujson.write(ujson.Obj.from(answers)))
} else {
println(ujson.write(ujson.Arr(rowsFor(operations, dischargers, function): _*)))
}
println("---OUSAST-CPG-END---")
}
+33 -7
View File
@@ -22,18 +22,29 @@
// Output: a fenced JSON array of {sink, sinkLine, sinkMethod, source, sanitized, length}. The fence exists
// because Joern prints a banner, pass logs and a prompt around whatever a script emits.
// BATCHED. `requests` is a JSON object of {id: {sources, sinks, sanitizers, function, parameterSources}} and
// the output is {id: [row, ...]}. One invocation answers a whole scan's questions, because the JVM start
// (~30s) dwarfs the queries themselves once the CPG is loaded -- one call per region per family put a
// ten-line file at four minutes and a thousand regions at roughly fifty hours.
//
// The single-request form is kept below it: the pair harnesses and every measurement committed so far use it,
// and changing their call shape would silently invalidate comparisons against those artifacts.
@main def exec(
cpgFile: String,
sources: String,
sinks: String,
sources: String = "",
sinks: String = "",
sanitizers: String = "",
function: String = "",
parameterSources: String = "false"
parameterSources: String = "false",
requests: String = ""
) = {
importCpg(cpgFile)
def split(raw: String): List[String] = raw.split(",").map(_.trim).filter(_.nonEmpty).toList
def rowsFor(sourcesS: String, sinksS: String, sanitizersS: String, functionS: String, paramSrc: String): List[ujson.Obj] = {
// Word-boundary matching, never substring. `resolveUrl` contains `resolve`, so a bare-substring sanitizer
// test marked the VULNERABLE flow sanitized and the verdict fell back to a captured `res` that names no
// attacker input. Same bug class as the dominance query's guard matching; fixed in both.
@@ -45,9 +56,11 @@
.find()
)
val sourcePatterns = split(sources)
val sinkNames = split(sinks)
val sanitizerNames = split(sanitizers)
val sourcePatterns = split(sourcesS)
val sinkNames = split(sinksS)
val sanitizerNames = split(sanitizersS)
val function = functionS
val parameterSources = paramSrc
// A source is any call whose code contains one of the patterns. Matching on `code` rather than a method
// name keeps `request.args["x"]` (an indexAccess over a fieldAccess) and `req.body.name` both reachable
@@ -126,7 +139,20 @@
}
}
rows
}
println("---OUSAST-CPG-BEGIN---")
println(ujson.write(ujson.Arr(rows: _*)))
if (requests.nonEmpty) {
val parsed = ujson.read(requests).obj
val answers = parsed.map { case (id, req) =>
def field(name: String): String = req.obj.get(name).map(_.str).getOrElse("")
val paramSrc = req.obj.get("parameterSources").map(_.str).getOrElse("false")
id -> ujson.Arr(rowsFor(field("sources"), field("sinks"), field("sanitizers"), field("function"), paramSrc): _*)
}
println(ujson.write(ujson.Obj.from(answers)))
} else {
println(ujson.write(ujson.Arr(rowsFor(sources, sinks, sanitizers, function, parameterSources): _*)))
}
println("---OUSAST-CPG-END---")
}