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SYSTEM ONLINE|Processing 500M CDR/hr|Feb 23, 2026 — 18:10:03 UTC
intercept-engine — fraud-analyzer.py — LIVE EXECUTION
THREAT DETECTED
1# intercept-engine v4.1.2 — inline CDR processor
2# loading rule corpus: 847 active patterns
3
4import intercept.ml.models as iml
5import intercept.ss7.parser as ss7
6
7# — CDR STREAM INGESTION —
8def analyze_cdr(record: CDRPayload) -> ThreatResult:
9 cli = record.calling_party_number
10 imsi = record.imsi_hash
11
12 # CLI spoofing: regex against known refiling patterns
13 SPOOF_PATTERN = r"^(\+?0{2,4}|00[1-9]{2}|\+[0-9]{1,2}0{4,})"
14 cli_match = re.search(SPOOF_PATTERN, cli)
15 if cli_match:
16 flag_threat(THREAT.CLI_SPOOF, confidence=0.91)
17
18 # SIM swap: IMSI velocity + location delta check
19 swap_score = iml.sim_swap_classifier.predict({
20 "imsi": imsi,
21 "location_delta_km": record.location_delta,
22 "time_since_last_auth_s": record.auth_gap_seconds,
23 "ported_flag": record.recent_port_event
24 })
25
26 # LIVE PAYLOAD — SIM SWAP DETECTED
27 # {
28 # "event": "SIM_SWAP_ATTEMPT",
29 # "timestamp": "2026-02-23T18:09:47.291Z",
30 # "imsi": "310150XXXXXXX8847",
31 # "msisdn": "+1-415-REDACTED",
32 # "location_delta_km": 4821,
33 # "auth_gap_seconds": 14,
34 # "confidence": 0.97,
35 # "action": "BLOCK"
36 # }
37
38 if swap_score > THRESHOLD.HIGH:
39 return ThreatResult(
40 action=ACTION.BLOCK,
41 threat_type=THREAT.SIM_SWAP,
42 confidence=swap_score,
43 latency_us=record.elapsed_microseconds
44 )
45
46 # Wangiri: single-ring + premium-rate destination
47 wangiri_score = iml.wangiri_detector.score(record)
48 irsf_risk = ss7.irsf_analyzer.evaluate(record)
49
50 return ThreatResult(action=ACTION.BLOCK, confidence=0.97)
51
52>>> BLOCK: confidence 0.97 | latency: 0.31ms | threat: SIM_SWAP
# intercept-engine v4.1.2 — inline CDR processor
# loading rule corpus: 847 active patterns
import intercept.ml.models as iml
import intercept.ss7.parser as ss7
# — CDR STREAM INGESTION —
def analyze_cdr(record: CDRPayload) -> ThreatResult:
cli = record.calling_party_number
imsi = record.imsi_hash
# CLI spoofing: regex against known refiling patterns
SPOOF_PATTERN = r"^(\+?0{2,4}|00[1-9]{2}|\+[0-9]{1,2}0{4,})"
cli_match = re.search(SPOOF_PATTERN, cli)
if cli_match:
flag_threat(THREAT.CLI_SPOOF, confidence=0.91)
# SIM swap: IMSI velocity + location delta check
swap_score = iml.sim_swap_classifier.predict({
"imsi": imsi,
"location_delta_km": record.location_delta,
"time_since_last_auth_s": record.auth_gap_seconds,
"ported_flag": record.recent_port_event
})
# LIVE PAYLOAD — SIM SWAP DETECTED
# {
# "event": "SIM_SWAP_ATTEMPT",
# "timestamp": "2026-02-23T18:09:47.291Z",
# "imsi": "310150XXXXXXX8847",
# "msisdn": "+1-415-REDACTED",
# "location_delta_km": 4821,
# "auth_gap_seconds": 14,
# "confidence": 0.97,
# "action": "BLOCK"
# }
if swap_score > THRESHOLD.HIGH:
return ThreatResult(
action=ACTION.BLOCK,
threat_type=THREAT.SIM_SWAP,
confidence=swap_score,
latency_us=record.elapsed_microseconds
)
# Wangiri: single-ring + premium-rate destination
wangiri_score = iml.wangiri_detector.score(record)
irsf_risk = ss7.irsf_analyzer.evaluate(record)
return ThreatResult(action=ACTION.BLOCK, confidence=0.97)
>>> BLOCK: confidence 0.97 | latency: 0.31ms | threat: SIM_SWAP

Real-time defense. Zero latency.

Intercept catches SIM swaps, CLI spoofing, and Wangiri callbacks before they bleed revenue — processing half a billion CDRs per hour, inline, without touching your signaling path.

0

fraudulent calls intercepted this quarter

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— 01 / THREAT COMPARISON —

Your current stack is bleeding revenue

Every hour your legacy engine runs, fraud slips through. Here's what the gap looks like in production numbers.

Category
⚠ Legacy Stack
✓ Intercept Platform
Detection Engine

Static rule-based filters (700–900 rules)

ML ensemble: gradient boosted trees + LSTM on CDR sequences

Response Latency
800ms→0.4ms

120–800ms per CDR evaluation

0.28–0.45ms inline — below SS7 signaling threshold

Processing Scale
8hr lag→Real-time

Batch CDR review: 4–8 hour lag

500M CDRs/hr continuous stream processing

False Positive Rate
15%→0.8%

12–18% false positives — analyst fatigue

0.8% false positives with confidence scoring

SIM Swap Detection

Post-event notification (avg 4.2 hrs after swap)

Pre-auth block: IMSI velocity + location delta scoring

IRSF Coverage

Destination blacklists updated weekly

Dynamic IRSF range scoring updated every 90 seconds

Wangiri Blocking

Manual complaint-driven blocklist

Single-ring pattern + premium-rate correlation, blocked inline

Model Retraining

Quarterly rule review by engineering team

Continuous online learning — model updates every 6 hours

Annual Fraud Exposure
$6.1M avg→$140K avg

$2.4M–$9.8M depending on traffic volume

Avg $140K residual — 94% reduction in confirmed deployments

Integration

Forklift replacement — weeks of SS7 reconfiguration

Transparent inline probe — deployed in 4 hours, no rerouting

Average carrier saves $5.96M annually switching from legacy batch processing to Intercept.

Based on 38 Tier-1 and MVNO deployments, 2023–2025. Median traffic: 2.1B minutes/month.

Calculate Your Exposure →

— 02 / THREAT TYPES —

Every vector, blocked inline

Live counters. Real numbers. These aren't projections — they're what Intercept has caught since January 1, 2026.

WNGR

Wangiri

LIVE

Single-ring callback fraud targeting premium-rate numbers. Caller hangs up after one ring, expecting victim to call back at their expense.

Calls Blocked

847.3M

+312/sec avg

Revenue Saved

$94.2M

+$34/sec avg

Latency:0.31ms
Accuracy:99.2%

Single-ring pattern detection + premium-rate destination scoring

IRSF

IRSF

LIVE

International Revenue Share Fraud — artificially inflated traffic to high-cost destinations where fraudsters share termination revenue.

Calls Blocked

2.10B

+891/sec avg

Revenue Saved

$312.4M

+$128/sec avg

Latency:0.28ms
Accuracy:98.7%

Dynamic IRSF range scoring + traffic anomaly correlation

SIMSW

SIM Swap

LIVE

Fraudster convinces carrier to transfer victim's number to a new SIM, enabling account takeover and OTP bypass for financial fraud.

Calls Blocked

4.9M

+2/sec avg

Revenue Saved

$1.84B

+$712/sec avg

Latency:0.44ms
Accuracy:97.1%

IMSI velocity + location delta + port event correlation

CLISF

CLI Spoofing

LIVE

Falsified calling line identity used to mask fraud origin, bypass geographic filters, and impersonate legitimate numbers for social engineering.

Calls Blocked

1.29B

+547/sec avg

Revenue Saved

$78.9M

+$33/sec avg

Latency:0.19ms
Accuracy:99.6%

Regex CLI format validation + origination route analysis

— 03 / PLATFORM SCALE —

Numbers that earn the download

500M

CDRs processed/hour

Sustained throughput

0.31ms

Median block latency

Below SS7 threshold

94%

Fraud reduction

Avg across deployments

0.8%

False positive rate

Down from 15% legacy

$5.96M

Annual savings

Median carrier benefit

38

Tier-1 deployments

Active in production

— 04 / MOBILE COMMAND —

The NOC in your pocket

Real-time push alerts. Approve or override blocks from your phone. View live threat maps. Your network, always in hand.

INTERCEPT NOC
LIVE
BLOCKIRSF+44-800-XXXXXX
0.9818:10:01
BLOCKSIM_SWAP+1-415-XXXXXX
0.9718:09:58
REVIEWWANGIRI+234-70-XXXXXX
0.8418:09:47

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